After importing the data from your SPSS file I replicated your first regression analysis as a proof of concept and data validity check.
Call:
lm(formula = Left_Hippocampus ~ Age_3 + WillDiscComp + Sex +
PovStat, data = brain2)
Residuals:
Min 1Q Median 3Q Max
-494.87719 -187.18063 -41.70472 167.86619 675.60806
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 3485.974189 191.164192 18.23550 < 2.22e-16
Age_3 -3.148445 3.352945 -0.93901 0.3510498
WillDiscComp 8.059501 3.606139 2.23494 0.0287100
Sex 157.152811 69.294295 2.26790 0.0265160
PovStat -186.454830 67.709541 -2.75375 0.0075505
Residual standard error: 273.5955 on 68 degrees of freedom
Multiple R-squared: 0.254148, Adjusted R-squared: 0.2102743
F-statistic: 5.792724 on 4 and 68 DF, p-value: 0.0004511434
The good news is that the results are identical to those you sent to me. It also appears as though no transformations are required. The distributions for the dependent measures are all fairly symmetric and none appear skewed.
**************Regress Left_Hippocampus on WillDiscComp **************
Call:
lm(formula = Left_Hippocampus ~ Age_3 * WillDiscComp + Age_3 *
I(WillDiscComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-451.49198 -199.16965 -65.06703 179.64206 730.32047
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 4050.37959346 464.16629257 8.72614 0.0000000000015065
Age_3 -15.41077901 9.37272365 -1.64422 0.104960
WillDiscComp -68.81109884 65.68535815 -1.04759 0.298709
I(WillDiscComp^2) 1.72700182 1.87715125 0.92001 0.360968
Sex 144.99253280 70.67114003 2.05165 0.044237
PovStat -183.68901677 69.50936017 -2.64265 0.010296
Age_3:WillDiscComp 1.68085442 1.32546533 1.26812 0.209277
Age_3:I(WillDiscComp^2) -0.03790956 0.03744292 -1.01246 0.315071
Residual standard error: 275.4018 on 65 degrees of freedom
Multiple R-squared: 0.2776081, Adjusted R-squared: 0.199812
F-statistic: 3.568408 on 7 and 65 DF, p-value: 0.002623266
**************Regress Left_Hippocampus on RaceDiscComp **************
Call:
lm(formula = Left_Hippocampus ~ Age_3 * RaceDiscComp + Age_3 *
I(RaceDiscComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-549.73346 -168.82322 -34.35535 160.91697 712.38985
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 5253.87364541 5350.11847138 0.98201 0.329736
Age_3 -16.71383928 100.11678619 -0.16694 0.867933
RaceDiscComp -337.88964091 1409.86657566 -0.23966 0.811347
I(RaceDiscComp^2) 14.77316128 89.91267018 0.16431 0.870000
Sex 184.45578060 70.26573811 2.62512 0.010787
PovStat -177.67907984 69.81406337 -2.54503 0.013310
Age_3:RaceDiscComp 1.29059105 26.16855940 0.04932 0.960817
Age_3:I(RaceDiscComp^2) 0.06298402 1.65671852 0.03802 0.969790
Residual standard error: 279.9792 on 65 degrees of freedom
Multiple R-squared: 0.2533953, Adjusted R-squared: 0.1729917
F-statistic: 3.151542 on 7 and 65 DF, p-value: 0.006258076
**************Regress Left_Hippocampus on DiscrimCauseComp **************
Call:
lm(formula = Left_Hippocampus ~ Age_3 * DiscrimCauseComp + Age_3 *
I(DiscrimCauseComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-536.80843 -145.15365 -23.77983 127.05756 731.21763
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 3279.8260426 438.6516930 7.47706 0.00000000024782
Age_3 1.8562961 9.5483817 0.19441 0.8464616
DiscrimCauseComp 314.9490640 213.7215969 1.47364 0.1454047
I(DiscrimCauseComp^2) -38.0375789 23.3052471 -1.63215 0.1074844
Sex 169.5458509 70.7165718 2.39754 0.0193879
PovStat -191.8017774 70.6345373 -2.71541 0.0084697
Age_3:DiscrimCauseComp -5.8378046 4.4473393 -1.31265 0.1939165
Age_3:I(DiscrimCauseComp^2) 0.7335315 0.4567260 1.60606 0.1131075
Residual standard error: 278.3274 on 65 degrees of freedom
Multiple R-squared: 0.2621786, Adjusted R-squared: 0.1827209
F-statistic: 3.299601 on 7 and 65 DF, p-value: 0.004592436
**************Regress Left_Hippocampus on DiscrimCauseSum **************
Call:
lm(formula = Left_Hippocampus ~ Age_3 * DiscrimCauseSum + Age_3 *
I(DiscrimCauseSum^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-517.99388 -172.33359 -19.20335 146.36015 710.00614
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2465.24004114 1474.05178564 1.67242 0.099248
Age_3 13.32149080 30.22744908 0.44071 0.660886
DiscrimCauseSum 147.59968514 155.61221016 0.94851 0.346383
I(DiscrimCauseSum^2) -4.02199729 3.77749386 -1.06473 0.290939
Sex 187.86796112 71.07387845 2.64328 0.010279
PovStat -189.63796204 72.00434077 -2.63370 0.010544
Age_3:DiscrimCauseSum -2.36340063 3.12579449 -0.75610 0.452323
Age_3:I(DiscrimCauseSum^2) 0.06765096 0.07471072 0.90551 0.368542
Residual standard error: 284.707 on 65 degrees of freedom
Multiple R-squared: 0.2279677, Adjusted R-squared: 0.1448257
F-statistic: 2.74191 on 7 and 65 DF, p-value: 0.01475204
**************Regress Left_Hippocampus on Discrim02a **************
Call:
lm(formula = Left_Hippocampus ~ Age_3 * Discrim02a + Age_3 *
I(Discrim02a^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-560.62359 -195.78789 -37.32413 166.35585 653.21038
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 4645.747198 847.129500 5.48411 0.00000072972
Age_3 -27.384647 16.640064 -1.64571 0.104652
Discrim02a -880.417913 904.257903 -0.97364 0.333847
I(Discrim02a^2) 132.821995 195.720195 0.67863 0.499780
Sex 175.141008 71.131283 2.46222 0.016468
PovStat -166.691756 71.373612 -2.33548 0.022615
Age_3:Discrim02a 19.933445 17.488509 1.13980 0.258551
Age_3:I(Discrim02a^2) -3.005073 3.766947 -0.79775 0.427922
Residual standard error: 279.0048 on 65 degrees of freedom
Multiple R-squared: 0.2585827, Adjusted R-squared: 0.1787378
F-statistic: 3.238562 on 7 and 65 DF, p-value: 0.005216999
**************Regress Left_Hippocampus on Discrim02b **************
Call:
lm(formula = Left_Hippocampus ~ Age_3 * Discrim02b + Age_3 *
I(Discrim02b^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-531.71188 -192.24253 -38.92123 161.41815 689.66845
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 4644.590604 871.073678 5.33203 0.0000013098
Age_3 -24.716722 17.277231 -1.43060 0.157336
Discrim02b -869.842756 901.004159 -0.96541 0.337915
I(Discrim02b^2) 136.601316 193.704166 0.70521 0.483202
Sex 184.771906 71.357870 2.58937 0.011854
PovStat -170.619656 72.781138 -2.34428 0.022130
Age_3:Discrim02b 17.058419 17.448643 0.97764 0.331879
Age_3:I(Discrim02b^2) -2.581964 3.730408 -0.69214 0.491315
Residual standard error: 283.6993 on 65 degrees of freedom
Multiple R-squared: 0.2334232, Adjusted R-squared: 0.1508688
F-statistic: 2.827507 on 7 and 65 DF, p-value: 0.01233257
**************Regress Right_Hippocampus on WillDiscComp **************
Call:
lm(formula = Right_Hippocampus ~ Age_3 * WillDiscComp + Age_3 *
I(WillDiscComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-393.11222 -210.37699 -26.73425 138.20598 644.72600
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 4135.09543232 445.97160529 9.27210 1.6477e-13
Age_3 -10.67155259 9.00532564 -1.18503 0.2403214
WillDiscComp -60.90494484 63.11058146 -0.96505 0.3380960
I(WillDiscComp^2) 1.78258154 1.80356947 0.98836 0.3266398
Sex 154.89975344 67.90092747 2.28126 0.0258175
PovStat -199.55430346 66.78468781 -2.98802 0.0039588
Age_3:WillDiscComp 1.41141096 1.27350889 1.10829 0.2718228
Age_3:I(WillDiscComp^2) -0.03602181 0.03597521 -1.00130 0.3203971
Residual standard error: 264.6065 on 65 degrees of freedom
Multiple R-squared: 0.3078081, Adjusted R-squared: 0.2332643
F-statistic: 4.129227 on 7 and 65 DF, p-value: 0.0008251923
**************Regress Right_Hippocampus on RaceDiscComp **************
Call:
lm(formula = Right_Hippocampus ~ Age_3 * RaceDiscComp + Age_3 *
I(RaceDiscComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-452.69183 -213.56385 -16.76199 180.50148 593.14314
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 13529.411975 4953.922669 2.73105 0.0081180
Age_3 -177.290778 92.702773 -1.91246 0.0602249
RaceDiscComp -2502.492422 1305.460809 -1.91694 0.0596429
I(RaceDiscComp^2) 154.350283 83.254309 1.85396 0.0682829
Sex 205.457627 65.062304 3.15786 0.0024108
PovStat -179.048165 64.644077 -2.76975 0.0073045
Age_3:RaceDiscComp 44.218741 24.230682 1.82491 0.0726106
Age_3:I(RaceDiscComp^2) -2.667571 1.534032 -1.73893 0.0867819
Residual standard error: 259.2457 on 65 degrees of freedom
Multiple R-squared: 0.3355707, Adjusted R-squared: 0.2640167
F-statistic: 4.689759 on 7 and 65 DF, p-value: 0.0002652688
**************Regress Right_Hippocampus on DiscrimCauseComp **************
Call:
lm(formula = Right_Hippocampus ~ Age_3 * DiscrimCauseComp + Age_3 *
I(DiscrimCauseComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-447.56390 -198.29651 -32.32668 145.52219 646.49657
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 3663.1687900 432.8932700 8.46206 0.0000000000044181
Age_3 -0.4420412 9.4230348 -0.04691 0.9627282
DiscrimCauseComp 143.9986243 210.9159555 0.68273 0.4972037
I(DiscrimCauseComp^2) -16.4853640 22.9993063 -0.71678 0.4760797
Sex 195.5756133 69.7882363 2.80242 0.0066770
PovStat -201.5866506 69.7072788 -2.89190 0.0052029
Age_3:DiscrimCauseComp -2.1903121 4.3889566 -0.49905 0.6194285
Age_3:I(DiscrimCauseComp^2) 0.2728353 0.4507303 0.60532 0.5470752
Residual standard error: 274.6737 on 65 degrees of freedom
Multiple R-squared: 0.2541359, Adjusted R-squared: 0.1738121
F-statistic: 3.163892 on 7 and 65 DF, p-value: 0.006098486
**************Regress Right_Hippocampus on DiscrimCauseSum **************
Call:
lm(formula = Right_Hippocampus ~ Age_3 * DiscrimCauseSum + Age_3 *
I(DiscrimCauseSum^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-470.91797 -189.34124 -20.60637 159.25629 643.53315
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2822.06842264 1425.15519777 1.98018 0.0519191
Age_3 12.39393062 29.22475763 0.42409 0.6729004
DiscrimCauseSum 116.98652816 150.45031138 0.77758 0.4396401
I(DiscrimCauseSum^2) -2.94268278 3.65218852 -0.80573 0.4233357
Sex 202.06856209 68.71624748 2.94062 0.0045330
PovStat -199.63126202 69.61584492 -2.86761 0.0055701
Age_3:DiscrimCauseSum -1.77433323 3.02210703 -0.58712 0.5591584
Age_3:I(DiscrimCauseSum^2) 0.04587509 0.07223245 0.63510 0.5275903
Residual standard error: 275.2628 on 65 degrees of freedom
Multiple R-squared: 0.2509329, Adjusted R-squared: 0.1702641
F-statistic: 3.110657 on 7 and 65 DF, p-value: 0.006816973
**************Regress Right_Hippocampus on Discrim02a **************
Call:
lm(formula = Right_Hippocampus ~ Age_3 * Discrim02a + Age_3 *
I(Discrim02a^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-473.17525 -215.12421 -12.89963 159.89575 640.88213
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 4821.170295 817.593599 5.89678 0.00000014562
Age_3 -25.925668 16.059894 -1.61431 0.1113044
Discrim02a -926.172255 872.730170 -1.06124 0.2925102
I(Discrim02a^2) 158.431771 188.896242 0.83872 0.4046982
Sex 193.165309 68.651229 2.81372 0.0064716
PovStat -185.515352 68.885109 -2.69311 0.0089952
Age_3:Discrim02a 21.966981 16.878757 1.30146 0.1976960
Age_3:I(Discrim02a^2) -3.810010 3.635609 -1.04797 0.2985336
Residual standard error: 269.2771 on 65 degrees of freedom
Multiple R-squared: 0.2831563, Adjusted R-squared: 0.2059578
F-statistic: 3.667897 on 7 and 65 DF, p-value: 0.002133914
**************Regress Right_Hippocampus on Discrim02b **************
Call:
lm(formula = Right_Hippocampus ~ Age_3 * Discrim02b + Age_3 *
I(Discrim02b^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-396.19875 -216.82295 -48.67873 183.35714 687.81149
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 5238.003154 831.603777 6.29868 0.000000029474
Age_3 -30.906132 16.494369 -1.87374 0.0654629
Discrim02b -1333.728503 860.178054 -1.55053 0.1258710
I(Discrim02b^2) 242.151784 184.927085 1.30944 0.1949936
Sex 205.038351 68.124518 3.00976 0.0037188
PovStat -183.420338 69.483295 -2.63978 0.0103752
Age_3:Discrim02b 26.648786 16.658014 1.59976 0.1145022
Age_3:I(Discrim02b^2) -4.825844 3.561377 -1.35505 0.1800923
Residual standard error: 270.8444 on 65 degrees of freedom
Multiple R-squared: 0.2747876, Adjusted R-squared: 0.1966878
F-statistic: 3.518417 on 7 and 65 DF, p-value: 0.002910549
**************Regress Left_Amygdala on WillDiscComp **************
Call:
lm(formula = Left_Amygdala ~ Age_3 * WillDiscComp + Age_3 * I(WillDiscComp^2) +
Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-279.761124 -47.355016 -4.693408 75.362641 190.694293
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1300.366489523 169.590993079 7.66766 0.00000000011367
Age_3 -5.454660502 3.424482858 -1.59284 0.1160474
WillDiscComp -21.350431816 23.999254787 -0.88963 0.3769459
I(WillDiscComp^2) 0.334101816 0.685848906 0.48714 0.6278006
Sex 70.291780295 25.820894389 2.72228 0.0083135
PovStat -60.984844644 25.396418501 -2.40132 0.0192055
Age_3:WillDiscComp 0.486831286 0.484281139 1.00527 0.3184966
Age_3:I(WillDiscComp^2) -0.006449583 0.013680402 -0.47145 0.6389003
Residual standard error: 100.6227 on 65 degrees of freedom
Multiple R-squared: 0.3077189, Adjusted R-squared: 0.2331655
F-statistic: 4.127499 on 7 and 65 DF, p-value: 0.000828114
**************Regress Left_Amygdala on RaceDiscComp **************
Call:
lm(formula = Left_Amygdala ~ Age_3 * RaceDiscComp + Age_3 * I(RaceDiscComp^2) +
Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-302.60390 -45.79328 5.34490 62.05555 177.81719
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1336.2366066 1893.0908549 0.70585 0.4828042
Age_3 6.5459007 35.4254160 0.18478 0.8539771
RaceDiscComp -9.7428465 498.8684896 -0.01953 0.9844782
I(RaceDiscComp^2) -2.6854450 31.8147822 -0.08441 0.9329909
Sex 83.5073598 24.8628936 3.35871 0.0013133
PovStat -56.2893889 24.7030726 -2.27864 0.0259821
Age_3:RaceDiscComp -2.9912753 9.2595072 -0.32305 0.7476950
Age_3:I(RaceDiscComp^2) 0.2547344 0.5862148 0.43454 0.6653348
Residual standard error: 99.0681 on 65 degrees of freedom
Multiple R-squared: 0.3289451, Adjusted R-squared: 0.2566776
F-statistic: 4.551773 on 7 and 65 DF, p-value: 0.0003499954
**************Regress Left_Amygdala on DiscrimCauseComp **************
Call:
lm(formula = Left_Amygdala ~ Age_3 * DiscrimCauseComp + Age_3 *
I(DiscrimCauseComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-244.591795 -47.461194 -4.638883 74.389868 202.934978
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 963.1368705 158.5698635 6.07390 0.000000072235
Age_3 2.1297198 3.4516807 0.61701 0.5393838
DiscrimCauseComp 100.5297159 77.2590303 1.30120 0.1977824
I(DiscrimCauseComp^2) -9.2452360 8.4247021 -1.09740 0.2765170
Sex 75.7368316 25.5636016 2.96268 0.0042568
PovStat -65.8383161 25.5339467 -2.57846 0.0121978
Age_3:DiscrimCauseComp -2.2237272 1.6076855 -1.38319 0.1713408
Age_3:I(DiscrimCauseComp^2) 0.2230144 0.1651036 1.35075 0.1814579
Residual standard error: 100.6136 on 65 degrees of freedom
Multiple R-squared: 0.3078437, Adjusted R-squared: 0.2333038
F-statistic: 4.129919 on 7 and 65 DF, p-value: 0.0008240264
**************Regress Left_Amygdala on DiscrimCauseSum **************
Call:
lm(formula = Left_Amygdala ~ Age_3 * DiscrimCauseSum + Age_3 *
I(DiscrimCauseSum^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-253.496709 -36.758948 -1.183167 73.496518 186.208266
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 868.39482829 540.95237946 1.60531 0.1132742
Age_3 2.37725829 11.09296883 0.21430 0.8309815
DiscrimCauseSum 33.00174351 57.10708143 0.57789 0.5653335
I(DiscrimCauseSum^2) -0.88011270 1.38627714 -0.63487 0.5277385
Sex 84.93009520 26.08292602 3.25616 0.0017958
PovStat -61.10477088 26.42439014 -2.31244 0.0239305
Age_3:DiscrimCauseSum -0.53882104 1.14711436 -0.46972 0.6401280
Age_3:I(DiscrimCauseSum^2) 0.01582396 0.02741759 0.57715 0.5658342
Residual standard error: 104.4827 on 65 degrees of freedom
Multiple R-squared: 0.2535868, Adjusted R-squared: 0.1732039
F-statistic: 3.154734 on 7 and 65 DF, p-value: 0.006216439
**************Regress Left_Amygdala on Discrim02a **************
Call:
lm(formula = Left_Amygdala ~ Age_3 * Discrim02a + Age_3 * I(Discrim02a^2) +
Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-332.88938 -40.27865 6.26871 61.52410 175.62322
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1701.559897 279.943184 6.07823 0.000000071001
Age_3 -12.913008 5.498891 -2.34829 0.0219125
Discrim02a -470.600973 298.821888 -1.57485 0.1201452
I(Discrim02a^2) 64.128889 64.677874 0.99151 0.3251124
Sex 73.660591 23.506108 3.13368 0.0025898
PovStat -46.384431 23.586189 -1.96659 0.0535025
Age_3:Discrim02a 8.887861 5.779269 1.53789 0.1289304
Age_3:I(Discrim02a^2) -1.051265 1.244829 -0.84451 0.4014844
Residual standard error: 92.20019 on 65 degrees of freedom
Multiple R-squared: 0.4187619, Adjusted R-squared: 0.356167
F-statistic: 6.690034 on 7 and 65 DF, p-value: 0.00000570957
**************Regress Left_Amygdala on Discrim02b **************
Call:
lm(formula = Left_Amygdala ~ Age_3 * Discrim02b + Age_3 * I(Discrim02b^2) +
Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-320.71131 -46.47876 8.67576 61.80343 174.17624
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1375.5393634 301.5811004 4.56109 0.000023115
Age_3 -4.8500019 5.9816826 -0.81081 0.4204343
Discrim02b -145.3712185 311.9435617 -0.46602 0.6427608
I(Discrim02b^2) 2.6963079 67.0638054 0.04021 0.9680528
Sex 78.5455169 24.7053556 3.17929 0.0022619
PovStat -51.2197030 25.1981160 -2.03268 0.0461738
Age_3:Discrim02b 1.0465913 6.0410284 0.17325 0.8629955
Age_3:I(Discrim02b^2) 0.3951002 1.2915332 0.30592 0.7606465
Residual standard error: 98.2217 on 65 degrees of freedom
Multiple R-squared: 0.3403625, Adjusted R-squared: 0.2693246
F-statistic: 4.791281 on 7 and 65 DF, p-value: 0.0002165397
**************Regress Right_Amygdala on WillDiscComp **************
Call:
lm(formula = Right_Amygdala ~ Age_3 * WillDiscComp + Age_3 *
I(WillDiscComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-229.50613 -59.70721 -20.96022 66.23668 230.85606
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1002.30012440 183.73381672 5.45518 0.00000081594
Age_3 0.53746038 3.71006322 0.14487 0.8852653
WillDiscComp 22.98892181 26.00064190 0.88417 0.3798646
I(WillDiscComp^2) -0.68093686 0.74304440 -0.91641 0.3628370
Sex 84.90369704 27.97419480 3.03507 0.0034563
PovStat -49.78745118 27.51432029 -1.80951 0.0749956
Age_3:WillDiscComp -0.44625255 0.52466714 -0.85054 0.3981450
Age_3:I(WillDiscComp^2) 0.01491563 0.01482126 1.00637 0.3179707
Residual standard error: 109.014 on 65 degrees of freedom
Multiple R-squared: 0.2775946, Adjusted R-squared: 0.1997971
F-statistic: 3.568169 on 7 and 65 DF, p-value: 0.002624569
**************Regress Right_Amygdala on RaceDiscComp **************
Call:
lm(formula = Right_Amygdala ~ Age_3 * RaceDiscComp + Age_3 *
I(RaceDiscComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-253.97651 -63.39703 -12.83058 62.64999 250.35445
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2414.5598560 2059.3404931 1.17249 0.24527894
Age_3 -16.2511913 38.5364461 -0.42171 0.67462840
RaceDiscComp -310.8977399 542.6786986 -0.57289 0.56869259
I(RaceDiscComp^2) 18.0599071 34.6087294 0.52183 0.60356176
Sex 93.3895280 27.0463319 3.45295 0.00098035
PovStat -40.1731996 26.8724755 -1.49496 0.13976498
Age_3:RaceDiscComp 3.1456998 10.0726693 0.31230 0.75581183
Age_3:I(RaceDiscComp^2) -0.1582888 0.6376957 -0.24822 0.80474672
Residual standard error: 107.7682 on 65 degrees of freedom
Multiple R-squared: 0.294012, Adjusted R-squared: 0.2179825
F-statistic: 3.867079 on 7 and 65 DF, p-value: 0.001413653
**************Regress Right_Amygdala on DiscrimCauseComp **************
Call:
lm(formula = Right_Amygdala ~ Age_3 * DiscrimCauseComp + Age_3 *
I(DiscrimCauseComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-219.148857 -67.502703 -6.826279 61.359079 210.895022
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1028.6909359 171.4200963 6.00099 0.000000096456
Age_3 -0.2816859 3.7313990 -0.07549 0.940056
DiscrimCauseComp 79.7512071 83.5199711 0.95488 0.343178
I(DiscrimCauseComp^2) -7.0101932 9.1074257 -0.76972 0.444253
Sex 86.3955495 27.6352326 3.12628 0.002647
PovStat -52.0437928 27.6031744 -1.88543 0.063843
Age_3:DiscrimCauseComp -1.3991370 1.7379696 -0.80504 0.423731
Age_3:I(DiscrimCauseComp^2) 0.1397271 0.1784833 0.78286 0.436553
Residual standard error: 108.7672 on 65 degrees of freedom
Multiple R-squared: 0.2808621, Adjusted R-squared: 0.2034165
F-statistic: 3.626572 on 7 and 65 DF, p-value: 0.002324852
**************Regress Right_Amygdala on DiscrimCauseSum **************
Call:
lm(formula = Right_Amygdala ~ Age_3 * DiscrimCauseSum + Age_3 *
I(DiscrimCauseSum^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-217.47959 -69.53645 -17.30691 58.85558 235.16798
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 398.35327355 559.72277177 0.71170 0.4791987
Age_3 11.35596359 11.47788141 0.98938 0.3261470
DiscrimCauseSum 88.87075748 59.08862798 1.50402 0.1374187
I(DiscrimCauseSum^2) -2.25596014 1.43437928 -1.57278 0.1206256
Sex 90.35729891 26.98797195 3.34806 0.0013571
PovStat -53.96114231 27.34128447 -1.97361 0.0526794
Age_3:DiscrimCauseSum -1.65121299 1.18691784 -1.39118 0.1689154
Age_3:I(DiscrimCauseSum^2) 0.04376810 0.02836894 1.54282 0.1277299
Residual standard error: 108.1081 on 65 degrees of freedom
Multiple R-squared: 0.2895508, Adjusted R-squared: 0.2130409
F-statistic: 3.784487 on 7 and 65 DF, p-value: 0.001676409
**************Regress Right_Amygdala on Discrim02a **************
Call:
lm(formula = Right_Amygdala ~ Age_3 * Discrim02a + Age_3 * I(Discrim02a^2) +
Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-266.99592 -56.29289 -11.88914 66.74228 238.97916
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1452.5305485 325.5212924 4.46217 0.000032962
Age_3 -7.6838939 6.3941759 -1.20170 0.2338391
Discrim02a -238.4801437 347.4736756 -0.68633 0.4949487
I(Discrim02a^2) 29.2325212 75.2082071 0.38869 0.6987773
Sex 88.3502620 27.3331847 3.23234 0.0019295
PovStat -35.2529998 27.4263030 -1.28537 0.2032233
Age_3:Discrim02a 3.8052853 6.7202028 0.56625 0.5731767
Age_3:I(Discrim02a^2) -0.2865579 1.4475018 -0.19797 0.8436886
Residual standard error: 107.2115 on 65 degrees of freedom
Multiple R-squared: 0.3012868, Adjusted R-squared: 0.2260407
F-statistic: 4.004022 on 7 and 65 DF, p-value: 0.001066539
**************Regress Right_Amygdala on Discrim02b **************
Call:
lm(formula = Right_Amygdala ~ Age_3 * Discrim02b + Age_3 * I(Discrim02b^2) +
Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-244.144501 -59.103334 -7.340773 60.202750 251.861195
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 988.455023 331.945383 2.97776 0.00407703
Age_3 3.484966 6.583940 0.52931 0.59839139
Discrim02b 191.205566 343.351174 0.55688 0.57952156
I(Discrim02b^2) -49.794418 73.816033 -0.67457 0.50233841
Sex 95.078712 27.192781 3.49647 0.00085518
PovStat -37.465137 27.735154 -1.35082 0.18143767
Age_3:Discrim02b -6.379751 6.649261 -0.95947 0.34087868
Age_3:I(Discrim02b^2) 1.549603 1.421569 1.09006 0.27970936
Residual standard error: 108.111 on 65 degrees of freedom
Multiple R-squared: 0.2895128, Adjusted R-squared: 0.2129988
F-statistic: 3.783789 on 7 and 65 DF, p-value: 0.001678829
**************Regress Left_ACgG_anterior_cingulate_gyr on WillDiscComp **************
Call:
lm(formula = Left_ACgG_anterior_cingulate_gyr ~ Age_3 * WillDiscComp +
Age_3 * I(WillDiscComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-1560.07813 -345.47779 -2.94904 320.99065 1651.64817
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 4975.62085522 1035.06123125 4.80708 0.0000094287
Age_3 -18.78146716 20.90057602 -0.89861 0.372177
WillDiscComp 7.06698924 146.47415973 0.04825 0.961667
I(WillDiscComp^2) 0.09131289 4.18592757 0.02181 0.982663
Sex 105.57207285 157.59213537 0.66991 0.505290
PovStat 266.51921821 155.00144038 1.71946 0.090289
Age_3:WillDiscComp -0.39350408 2.95570315 -0.13313 0.894499
Age_3:I(WillDiscComp^2) 0.01073747 0.08349532 0.12860 0.898071
Residual standard error: 614.1285 on 65 degrees of freedom
Multiple R-squared: 0.2319402, Adjusted R-squared: 0.1492261
F-statistic: 2.804118 on 7 and 65 DF, p-value: 0.0129514
**************Regress Left_ACgG_anterior_cingulate_gyr on RaceDiscComp **************
Call:
lm(formula = Left_ACgG_anterior_cingulate_gyr ~ Age_3 * RaceDiscComp +
Age_3 * I(RaceDiscComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-1442.56130 -366.94389 -87.74432 421.14801 1367.50562
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 16451.156676 11386.558080 1.44479 0.153321
Age_3 -250.279700 213.076702 -1.17460 0.244440
RaceDiscComp -2592.332502 3000.592928 -0.86394 0.390798
I(RaceDiscComp^2) 135.156392 191.359471 0.70630 0.482528
Sex 165.221182 149.545269 1.10482 0.273309
PovStat 297.457629 148.583978 2.00195 0.049467
Age_3:RaceDiscComp 51.074761 55.694060 0.91706 0.362502
Age_3:I(RaceDiscComp^2) -2.582927 3.525963 -0.73255 0.466469
Residual standard error: 595.8745 on 65 degrees of freedom
Multiple R-squared: 0.2769204, Adjusted R-squared: 0.1990503
F-statistic: 3.556183 on 7 and 65 DF, p-value: 0.002690758
**************Regress Left_ACgG_anterior_cingulate_gyr on DiscrimCauseComp **************
Call:
lm(formula = Left_ACgG_anterior_cingulate_gyr ~ Age_3 * DiscrimCauseComp +
Age_3 * I(DiscrimCauseComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-1723.26338 -357.17106 -21.30336 375.40516 1503.42407
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 5787.4725244 964.3500066 6.00142 0.000000096292
Age_3 -41.5700537 20.9915568 -1.98032 0.051903
DiscrimCauseComp -124.3846654 469.8543893 -0.26473 0.792055
I(DiscrimCauseComp^2) -1.9069095 51.2352183 -0.03722 0.970425
Sex 126.1400929 155.4662334 0.81137 0.420116
PovStat 267.2343515 155.2858855 1.72092 0.090023
Age_3:DiscrimCauseComp 5.2269817 9.7772144 0.53461 0.594745
Age_3:I(DiscrimCauseComp^2) -0.1908663 1.0040854 -0.19009 0.849831
Residual standard error: 611.8865 on 65 degrees of freedom
Multiple R-squared: 0.2375379, Adjusted R-squared: 0.1554266
F-statistic: 2.892877 on 7 and 65 DF, p-value: 0.01075504
**************Regress Left_ACgG_anterior_cingulate_gyr on DiscrimCauseSum **************
Call:
lm(formula = Left_ACgG_anterior_cingulate_gyr ~ Age_3 * DiscrimCauseSum +
Age_3 * I(DiscrimCauseSum^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-1583.62463 -337.69632 -45.28603 423.85670 1374.19824
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 3462.1063542 3084.4429035 1.12244 0.26580
Age_3 12.5234438 63.2507228 0.19800 0.84367
DiscrimCauseSum 277.6528297 325.6174457 0.85270 0.39696
I(DiscrimCauseSum^2) -8.9876424 7.9043791 -1.13705 0.25969
Sex 109.4428132 148.7215864 0.73589 0.46444
PovStat 211.5797791 150.6685722 1.40427 0.16500
Age_3:DiscrimCauseSum -5.8756783 6.5407028 -0.89833 0.37233
Age_3:I(DiscrimCauseSum^2) 0.1935929 0.1563317 1.23835 0.22004
Residual standard error: 595.7474 on 65 degrees of freedom
Multiple R-squared: 0.277229, Adjusted R-squared: 0.1993921
F-statistic: 3.561666 on 7 and 65 DF, p-value: 0.002660273
**************Regress Left_ACgG_anterior_cingulate_gyr on Discrim02a **************
Call:
lm(formula = Left_ACgG_anterior_cingulate_gyr ~ Age_3 * Discrim02a +
Age_3 * I(Discrim02a^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-1355.35411 -324.03993 -38.02574 375.37724 1550.59871
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 5829.4808152 1827.1262574 3.19052 0.0021874
Age_3 -44.6820131 35.8900231 -1.24497 0.2176125
Discrim02a -141.6096098 1950.3433153 -0.07261 0.9423414
I(Discrim02a^2) -92.8101116 422.1379470 -0.21986 0.8266713
Sex 77.7507873 153.4190871 0.50679 0.6140193
PovStat 267.5078181 153.9417531 1.73772 0.0869959
Age_3:Discrim02a 10.6460795 37.7199873 0.28224 0.7786564
Age_3:I(Discrim02a^2) 0.5239888 8.1247174 0.06449 0.9487755
Residual standard error: 601.77 on 65 degrees of freedom
Multiple R-squared: 0.2625417, Adjusted R-squared: 0.1831231
F-statistic: 3.305797 on 7 and 65 DF, p-value: 0.004533403
**************Regress Left_ACgG_anterior_cingulate_gyr on Discrim02b **************
Call:
lm(formula = Left_ACgG_anterior_cingulate_gyr ~ Age_3 * Discrim02b +
Age_3 * I(Discrim02b^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-1359.31840 -375.22396 -55.87905 431.62535 1579.02201
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 6915.612963 1846.034179 3.74620 0.00038345
Age_3 -64.331378 36.614995 -1.75697 0.08363249
Discrim02b -1018.277524 1909.464738 -0.53328 0.59565923
I(Discrim02b^2) 49.710150 410.510064 0.12109 0.90399045
Sex 120.819218 151.226091 0.79893 0.42724011
PovStat 244.090625 154.242369 1.58251 0.11838641
Age_3:Discrim02b 27.109370 36.978262 0.73312 0.46612324
Age_3:I(Discrim02b^2) -2.428025 7.905716 -0.30712 0.75973180
Residual standard error: 601.2334 on 65 degrees of freedom
Multiple R-squared: 0.2638563, Adjusted R-squared: 0.1845792
F-statistic: 3.328282 on 7 and 65 DF, p-value: 0.004325525
**************Regress Right_ACgG_anterior_cingulate_gy on WillDiscComp **************
Call:
lm(formula = Right_ACgG_anterior_cingulate_gy ~ Age_3 * WillDiscComp +
Age_3 * I(WillDiscComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-1889.80129 -403.54626 -39.94921 340.32690 2033.60426
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 4699.06870827 1137.68348947 4.13038 0.00010552
Age_3 -28.11854053 22.97278610 -1.22399 0.22537285
WillDiscComp 98.54393156 160.99649772 0.61209 0.54261518
I(WillDiscComp^2) -3.62152164 4.60094586 -0.78713 0.43406914
Sex 36.07764632 173.21677700 0.20828 0.83566136
PovStat -262.18390025 170.36922478 -1.53892 0.12867910
Age_3:WillDiscComp -1.35221534 3.24874951 -0.41623 0.67861549
Age_3:I(WillDiscComp^2) 0.06859009 0.09177355 0.74738 0.45752702
Residual standard error: 675.017 on 65 degrees of freedom
Multiple R-squared: 0.2664261, Adjusted R-squared: 0.1874258
F-statistic: 3.372471 on 7 and 65 DF, p-value: 0.003944549
**************Regress Right_ACgG_anterior_cingulate_gy on RaceDiscComp **************
Call:
lm(formula = Right_ACgG_anterior_cingulate_gy ~ Age_3 * RaceDiscComp +
Age_3 * I(RaceDiscComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-1997.9380 -349.4243 -110.6939 418.8860 2011.7783
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 7469.1366162 13186.9970343 0.56640 0.57307
Age_3 -74.1692722 246.7683229 -0.30056 0.76471
RaceDiscComp -119.0963329 3475.0457306 -0.03427 0.97277
I(RaceDiscComp^2) -29.0644848 221.6171700 -0.13115 0.89606
Sex 161.3496096 173.1913200 0.93163 0.35498
PovStat -200.5232014 172.0780300 -1.16530 0.24815
Age_3:RaceDiscComp 0.9747009 64.5003876 0.01511 0.98799
Age_3:I(RaceDiscComp^2) 0.6917578 4.0834876 0.16940 0.86601
Residual standard error: 690.094 on 65 degrees of freedom
Multiple R-squared: 0.2332902, Adjusted R-squared: 0.1507214
F-statistic: 2.825405 on 7 and 65 DF, p-value: 0.01238695
**************Regress Right_ACgG_anterior_cingulate_gy on DiscrimCauseComp **************
Call:
lm(formula = Right_ACgG_anterior_cingulate_gy ~ Age_3 * DiscrimCauseComp +
Age_3 * I(DiscrimCauseComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-2108.7785 -455.8519 -118.1887 556.9762 1994.8104
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 4844.610917 1110.290103 4.36337 0.000046815
Age_3 -27.204806 24.168318 -1.12564 0.26446
DiscrimCauseComp 423.198149 540.959895 0.78231 0.43687
I(DiscrimCauseComp^2) -59.636056 58.988910 -1.01097 0.31578
Sex 137.472776 178.993746 0.76803 0.44525
PovStat -203.434482 178.786105 -1.13787 0.25935
Age_3:DiscrimCauseComp -7.498379 11.256851 -0.66612 0.50769
Age_3:I(DiscrimCauseComp^2) 1.102352 1.156039 0.95356 0.34384
Residual standard error: 704.4865 on 65 degrees of freedom
Multiple R-squared: 0.200976, Adjusted R-squared: 0.1149272
F-statistic: 2.335606 on 7 and 65 DF, p-value: 0.03439474
**************Regress Right_ACgG_anterior_cingulate_gy on DiscrimCauseSum **************
Call:
lm(formula = Right_ACgG_anterior_cingulate_gy ~ Age_3 * DiscrimCauseSum +
Age_3 * I(DiscrimCauseSum^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-2065.44775 -417.53999 -76.18593 530.10234 1932.24028
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -375.9690840 3600.1578530 -0.10443 0.917149
Age_3 76.9629454 73.8261635 1.04249 0.301047
DiscrimCauseSum 649.1956099 380.0602705 1.70814 0.092383
I(DiscrimCauseSum^2) -16.9423606 9.2259813 -1.83637 0.070876
Sex 178.3533675 173.5876474 1.02745 0.308015
PovStat -220.2541082 175.8601668 -1.25244 0.214898
Age_3:DiscrimCauseSum -12.6256497 7.6343000 -1.65381 0.102989
Age_3:I(DiscrimCauseSum^2) 0.3276645 0.1824701 1.79572 0.077188
Residual standard error: 695.3556 on 65 degrees of freedom
Multiple R-squared: 0.2215542, Adjusted R-squared: 0.1377216
F-statistic: 2.642816 on 7 and 65 DF, p-value: 0.01814787
**************Regress Right_ACgG_anterior_cingulate_gy on Discrim02a **************
Call:
lm(formula = Right_ACgG_anterior_cingulate_gy ~ Age_3 * Discrim02a +
Age_3 * I(Discrim02a^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-1816.51245 -393.37441 -83.77839 410.19823 2165.41500
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 5931.76657556 2086.96558377 2.84229 0.0059781
Age_3 -58.91768923 40.99401604 -1.43723 0.1554502
Discrim02a -158.28780329 2227.70558908 -0.07105 0.9435728
I(Discrim02a^2) -110.33158550 482.17103957 -0.22882 0.8197253
Sex 81.37234577 175.23712632 0.46436 0.6439446
PovStat -217.08368203 175.83412160 -1.23459 0.2214264
Age_3:Discrim02a 14.80150982 43.08422308 0.34355 0.7322948
Age_3:I(Discrim02a^2) 0.03398652 9.28014993 0.00366 0.9970891
Residual standard error: 687.3489 on 65 degrees of freedom
Multiple R-squared: 0.2393779, Adjusted R-squared: 0.1574648
F-statistic: 2.922338 on 7 and 65 DF, p-value: 0.0101116
**************Regress Right_ACgG_anterior_cingulate_gy on Discrim02b **************
Call:
lm(formula = Right_ACgG_anterior_cingulate_gy ~ Age_3 * Discrim02b +
Age_3 * I(Discrim02b^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-1922.61884 -421.53159 -81.00393 551.79193 1948.82275
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 6998.4665088 2110.9354330 3.31534 0.0015002
Age_3 -71.0732519 41.8691548 -1.69751 0.0943840
Discrim02b -934.8874596 2183.4681169 -0.42817 0.6699455
I(Discrim02b^2) -12.7538943 469.4172243 -0.02717 0.9784077
Sex 138.1690344 172.9266540 0.79900 0.4271983
PovStat -238.0064578 176.3757605 -1.34943 0.1818810
Age_3:Discrim02b 22.4217453 42.2845494 0.53026 0.5977395
Age_3:I(Discrim02b^2) -0.7302772 9.0401659 -0.08078 0.9358640
Residual standard error: 687.5088 on 65 degrees of freedom
Multiple R-squared: 0.2390238, Adjusted R-squared: 0.1570725
F-statistic: 2.916657 on 7 and 65 DF, p-value: 0.0102326
**************Regress Left_MFC_medial_frontal_cortex on WillDiscComp **************
Call:
lm(formula = Left_MFC_medial_frontal_cortex ~ Age_3 * WillDiscComp +
Age_3 * I(WillDiscComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-658.12455 -235.24391 -36.53911 154.87269 776.85699
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2077.93914386 562.42592941 3.69460 0.0004537
Age_3 -8.91024010 11.35684106 -0.78457 0.4355557
WillDiscComp -79.36144479 79.59033044 -0.99712 0.3224018
I(WillDiscComp^2) 3.05906994 2.27452650 1.34493 0.1833232
Sex 157.10182972 85.63155544 1.83463 0.0711381
PovStat 71.96042449 84.22383772 0.85439 0.3960242
Age_3:WillDiscComp 1.55658112 1.60605386 0.96920 0.3360400
Age_3:I(WillDiscComp^2) -0.05999162 0.04536923 -1.32230 0.1907033
Residual standard error: 333.7018 on 65 degrees of freedom
Multiple R-squared: 0.1025231, Adjusted R-squared: 0.005871767
F-statistic: 1.060752 on 7 and 65 DF, p-value: 0.3987355
**************Regress Left_MFC_medial_frontal_cortex on RaceDiscComp **************
Call:
lm(formula = Left_MFC_medial_frontal_cortex ~ Age_3 * RaceDiscComp +
Age_3 * I(RaceDiscComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-697.50553 -236.87884 4.56163 189.21423 772.72178
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 7635.798475 6404.149481 1.19232 0.237470
Age_3 -126.211038 119.840872 -1.05316 0.296169
RaceDiscComp -1441.553987 1687.625489 -0.85419 0.396137
I(RaceDiscComp^2) 83.728652 107.626435 0.77796 0.439417
Sex 187.939633 84.108846 2.23448 0.028896
PovStat 58.460392 83.568186 0.69955 0.486702
Age_3:RaceDiscComp 30.629220 31.324048 0.97782 0.331790
Age_3:I(RaceDiscComp^2) -1.799386 1.983110 -0.90736 0.367570
Residual standard error: 335.1381 on 65 degrees of freedom
Multiple R-squared: 0.0947808, Adjusted R-squared: -0.002704348
F-statistic: 0.9722589 on 7 and 65 DF, p-value: 0.4589617
**************Regress Left_MFC_medial_frontal_cortex on DiscrimCauseComp **************
Call:
lm(formula = Left_MFC_medial_frontal_cortex ~ Age_3 * DiscrimCauseComp +
Age_3 * I(DiscrimCauseComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-564.13318 -262.97341 -7.51314 180.74226 774.30424
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1376.4253884 532.7694951 2.58353 0.012037
Age_3 6.2871700 11.5970976 0.54213 0.589581
DiscrimCauseComp 249.0479530 259.5780412 0.95943 0.340896
I(DiscrimCauseComp^2) -24.9438941 28.3056579 -0.88123 0.381438
Sex 161.9364856 85.8896315 1.88540 0.063846
PovStat 51.4021518 85.7899956 0.59916 0.551147
Age_3:DiscrimCauseComp -5.1769331 5.4015674 -0.95841 0.341406
Age_3:I(DiscrimCauseComp^2) 0.5027433 0.5547219 0.90630 0.368126
Residual standard error: 338.0458 on 65 degrees of freedom
Multiple R-squared: 0.0790051, Adjusted R-squared: -0.02017896
F-statistic: 0.7965504 on 7 and 65 DF, p-value: 0.5929669
**************Regress Left_MFC_medial_frontal_cortex on DiscrimCauseSum **************
Call:
lm(formula = Left_MFC_medial_frontal_cortex ~ Age_3 * DiscrimCauseSum +
Age_3 * I(DiscrimCauseSum^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-576.7635 -240.6030 25.1113 164.2589 792.4666
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -719.76738124 1718.11511622 -0.41893 0.676650
Age_3 48.35562601 35.23230167 1.37248 0.174632
DiscrimCauseSum 289.42392976 181.37740692 1.59570 0.115407
I(DiscrimCauseSum^2) -7.44187162 4.40294525 -1.69020 0.095780
Sex 173.91277404 82.84180117 2.09934 0.039675
PovStat 47.21218111 83.92632302 0.56254 0.575681
Age_3:DiscrimCauseSum -5.75274676 3.64334199 -1.57898 0.119196
Age_3:I(DiscrimCauseSum^2) 0.14459791 0.08708081 1.66050 0.101630
Residual standard error: 331.8468 on 65 degrees of freedom
Multiple R-squared: 0.1124733, Adjusted R-squared: 0.0168935
F-statistic: 1.176748 on 7 and 65 DF, p-value: 0.3284158
**************Regress Left_MFC_medial_frontal_cortex on Discrim02a **************
Call:
lm(formula = Left_MFC_medial_frontal_cortex ~ Age_3 * Discrim02a +
Age_3 * I(Discrim02a^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-658.92831 -241.02590 -4.92861 171.76366 752.78791
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2364.622619 997.237562 2.37117 0.020705
Age_3 -21.618820 19.588618 -1.10364 0.273818
Discrim02a -487.294306 1064.488896 -0.45777 0.648642
I(Discrim02a^2) 81.373129 230.401055 0.35318 0.725096
Sex 140.926215 83.735470 1.68299 0.097174
PovStat 44.252175 84.020739 0.52668 0.600208
Age_3:Discrim02a 17.314776 20.587405 0.84104 0.403410
Age_3:I(Discrim02a^2) -3.155257 4.434435 -0.71154 0.479299
Residual standard error: 328.4434 on 65 degrees of freedom
Multiple R-squared: 0.1305848, Adjusted R-squared: 0.03695542
F-statistic: 1.394699 on 7 and 65 DF, p-value: 0.222745
**************Regress Left_MFC_medial_frontal_cortex on Discrim02b **************
Call:
lm(formula = Left_MFC_medial_frontal_cortex ~ Age_3 * Discrim02b +
Age_3 * I(Discrim02b^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-648.51308 -247.03823 11.97598 181.56104 768.59691
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2569.03090 1024.16084 2.50843 0.014631
Age_3 -22.47017 20.31362 -1.10616 0.272733
Discrim02b -813.06545 1059.35147 -0.76751 0.445556
I(Discrim02b^2) 178.34597 227.74678 0.78309 0.436419
Sex 170.82603 83.89869 2.03610 0.045819
PovStat 47.94646 85.57209 0.56030 0.577198
Age_3:Discrim02b 20.54356 20.51516 1.00138 0.320354
Age_3:I(Discrim02b^2) -4.50239 4.38601 -1.02653 0.308445
Residual standard error: 333.5581 on 65 degrees of freedom
Multiple R-squared: 0.103296, Adjusted R-squared: 0.006727828
F-statistic: 1.069669 on 7 and 65 DF, p-value: 0.3929768
**************Regress Right_MFC_medial_frontal_cortex on WillDiscComp **************
Call:
lm(formula = Right_MFC_medial_frontal_cortex ~ Age_3 * WillDiscComp +
Age_3 * I(WillDiscComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-799.72621 -229.94444 4.66225 134.56896 1093.15942
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2618.63702844 599.03227654 4.37145 0.000045498
Age_3 -20.65452455 12.09601834 -1.70755 0.092493
WillDiscComp -151.16062914 84.77058816 -1.78317 0.079227
I(WillDiscComp^2) 5.62950014 2.42256752 2.32377 0.023275
Sex 25.33932503 91.20501548 0.27783 0.782026
PovStat -78.42262515 89.70567431 -0.87422 0.385216
Age_3:WillDiscComp 3.09807530 1.71058632 1.81112 0.074743
Age_3:I(WillDiscComp^2) -0.10930425 0.04832216 -2.26199 0.027049
Residual standard error: 355.4213 on 65 degrees of freedom
Multiple R-squared: 0.1976923, Adjusted R-squared: 0.1112899
F-statistic: 2.288042 on 7 and 65 DF, p-value: 0.03795032
**************Regress Right_MFC_medial_frontal_cortex on RaceDiscComp **************
Call:
lm(formula = Right_MFC_medial_frontal_cortex ~ Age_3 * RaceDiscComp +
Age_3 * I(RaceDiscComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-681.46507 -244.41132 -34.06089 169.90901 1165.57895
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1862.9069705 7097.3971089 0.26248 0.79378
Age_3 -31.5735232 132.8136176 -0.23773 0.81284
RaceDiscComp 205.9077105 1870.3105383 0.11009 0.91267
I(RaceDiscComp^2) -23.6817547 119.2769709 -0.19854 0.84324
Sex 68.6593814 93.2136081 0.73658 0.46403
PovStat -105.6328988 92.6144223 -1.14057 0.25824
Age_3:RaceDiscComp 2.4688216 34.7148682 0.07112 0.94352
Age_3:I(RaceDiscComp^2) 0.1152445 2.1977811 0.05244 0.95834
Residual standard error: 371.4167 on 65 degrees of freedom
Multiple R-squared: 0.123853, Adjusted R-squared: 0.0294987
F-statistic: 1.312638 on 7 and 65 DF, p-value: 0.2586243
**************Regress Right_MFC_medial_frontal_cortex on DiscrimCauseComp **************
Call:
lm(formula = Right_MFC_medial_frontal_cortex ~ Age_3 * DiscrimCauseComp +
Age_3 * I(DiscrimCauseComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-729.49152 -250.52861 -27.02382 126.00178 1262.31036
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2075.8359253806 589.6307480965 3.52057 0.00079254
Age_3 -11.4371401898 12.8348289356 -0.89110 0.37616122
DiscrimCauseComp 72.4477361143 287.2822037622 0.25218 0.80169520
I(DiscrimCauseComp^2) -6.4089440799 31.3266551154 -0.20458 0.83853613
Sex 52.0417890782 95.0564327081 0.54748 0.58592193
PovStat -127.1390615028 94.9461628964 -1.33906 0.18521368
Age_3:DiscrimCauseComp 0.2652247630 5.9780642070 0.04437 0.96474842
Age_3:I(DiscrimCauseComp^2) 0.0006960589 0.6139260832 0.00113 0.99909884
Residual standard error: 374.1247 on 65 degrees of freedom
Multiple R-squared: 0.1110308, Adjusted R-squared: 0.01529568
F-statistic: 1.159771 on 7 and 65 DF, p-value: 0.3380836
**************Regress Right_MFC_medial_frontal_cortex on DiscrimCauseSum **************
Call:
lm(formula = Right_MFC_medial_frontal_cortex ~ Age_3 * DiscrimCauseSum +
Age_3 * I(DiscrimCauseSum^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-738.48527 -247.05404 -48.98956 142.83077 1231.03491
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1150.71819948 1958.74591794 0.58748 0.55892
Age_3 1.38152144 40.16676556 0.03439 0.97267
DiscrimCauseSum 132.92003714 206.78023961 0.64281 0.52261
I(DiscrimCauseSum^2) -3.81728919 5.01960023 -0.76048 0.44972
Sex 60.68286923 94.44421875 0.64253 0.52279
PovStat -119.30565355 95.68063343 -1.24692 0.21690
Age_3:DiscrimCauseSum -1.67859301 4.15361065 -0.40413 0.68744
Age_3:I(DiscrimCauseSum^2) 0.05433364 0.09927692 0.54729 0.58605
Residual standard error: 378.3237 on 65 degrees of freedom
Multiple R-squared: 0.09096406, Adjusted R-squared: -0.006932118
F-statistic: 0.9291891 on 7 and 65 DF, p-value: 0.4901972
**************Regress Right_MFC_medial_frontal_cortex on Discrim02a **************
Call:
lm(formula = Right_MFC_medial_frontal_cortex ~ Age_3 * Discrim02a +
Age_3 * I(Discrim02a^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-698.55028 -219.97387 3.04926 158.90909 907.56823
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2817.612357 1083.729424 2.59992 0.011529
Age_3 -29.053394 21.287568 -1.36481 0.177020
Discrim02a -650.180436 1156.813564 -0.56204 0.576019
I(Discrim02a^2) 122.000600 250.384073 0.48725 0.627718
Sex 24.005950 90.997969 0.26381 0.792763
PovStat -91.080202 91.307980 -0.99751 0.322218
Age_3:Discrim02a 17.680891 22.372980 0.79028 0.432239
Age_3:I(Discrim02a^2) -2.885059 4.819040 -0.59868 0.551468
Residual standard error: 356.9298 on 65 degrees of freedom
Multiple R-squared: 0.1908675, Adjusted R-squared: 0.1037301
F-statistic: 2.190421 on 7 and 65 DF, p-value: 0.04640701
**************Regress Right_MFC_medial_frontal_cortex on Discrim02b **************
Call:
lm(formula = Right_MFC_medial_frontal_cortex ~ Age_3 * Discrim02b +
Age_3 * I(Discrim02b^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-767.39182 -267.23628 -18.28451 149.51776 1036.24325
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2380.870706 1149.734538 2.07080 0.042353
Age_3 -19.090275 22.804304 -0.83713 0.405584
Discrim02b -195.104946 1189.239930 -0.16406 0.870194
I(Discrim02b^2) 34.644787 255.671105 0.13551 0.892631
Sex 42.466541 94.185612 0.45088 0.653576
PovStat -110.101929 96.064190 -1.14613 0.255944
Age_3:Discrim02b 8.013298 23.030551 0.34794 0.729008
Age_3:I(Discrim02b^2) -1.229181 4.923784 -0.24964 0.803652
Residual standard error: 374.4561 on 65 degrees of freedom
Multiple R-squared: 0.109455, Adjusted R-squared: 0.01355012
F-statistic: 1.141287 on 7 and 65 DF, p-value: 0.3488531
**************Regress Left_OrIFG_orbital_part_of_the_i on WillDiscComp **************
Call:
lm(formula = Left_OrIFG_orbital_part_of_the_i ~ Age_3 * WillDiscComp +
Age_3 * I(WillDiscComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-794.29381 -211.44336 -9.08383 165.37922 883.65932
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1587.99717653 580.74531378 2.73441 0.0080442
Age_3 -7.47709824 11.72675704 -0.63761 0.5259673
WillDiscComp -105.50613567 82.18275333 -1.28380 0.2037699
I(WillDiscComp^2) 2.61420830 2.34861257 1.11309 0.2697709
Sex 81.34552577 88.42075361 0.91998 0.3609837
PovStat -27.05970804 86.96718359 -0.31115 0.7566834
Age_3:WillDiscComp 1.72287073 1.65836639 1.03890 0.3027022
Age_3:I(WillDiscComp^2) -0.03701653 0.04684700 -0.79016 0.4323088
Residual standard error: 344.5712 on 65 degrees of freedom
Multiple R-squared: 0.1506425, Adjusted R-squared: 0.05917321
F-statistic: 1.646919 on 7 and 65 DF, p-value: 0.1381408
**************Regress Left_OrIFG_orbital_part_of_the_i on RaceDiscComp **************
Call:
lm(formula = Left_OrIFG_orbital_part_of_the_i ~ Age_3 * RaceDiscComp +
Age_3 * I(RaceDiscComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-786.95077 -270.83514 36.20479 186.13318 995.49136
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 75.3094971 6910.4883645 0.01090 0.99134
Age_3 34.8791562 129.3159936 0.26972 0.78823
RaceDiscComp 138.8141952 1821.0562287 0.07623 0.93947
I(RaceDiscComp^2) -2.0042336 116.1358322 -0.01726 0.98628
Sex 123.9654033 90.7588436 1.36588 0.17669
PovStat -18.7631822 90.1754373 -0.20807 0.83582
Age_3:RaceDiscComp -6.4079219 33.8006581 -0.18958 0.85023
Age_3:I(RaceDiscComp^2) 0.2722078 2.1399029 0.12721 0.89917
Residual standard error: 361.6355 on 65 degrees of freedom
Multiple R-squared: 0.06443315, Adjusted R-squared: -0.03632021
F-statistic: 0.6395137 on 7 and 65 DF, p-value: 0.7215714
**************Regress Left_OrIFG_orbital_part_of_the_i on DiscrimCauseComp **************
Call:
lm(formula = Left_OrIFG_orbital_part_of_the_i ~ Age_3 * DiscrimCauseComp +
Age_3 * I(DiscrimCauseComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-740.35127 -266.41561 19.92457 177.78895 952.41913
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1108.5704832 568.7192034 1.94924 0.055584
Age_3 0.1122792 12.3796354 0.00907 0.992791
DiscrimCauseComp -90.9156016 277.0935990 -0.32810 0.743887
I(DiscrimCauseComp^2) 10.6548120 30.2156399 0.35263 0.725510
Sex 111.1709070 91.6852095 1.21253 0.229699
PovStat -37.1610470 91.5788505 -0.40578 0.686236
Age_3:DiscrimCauseComp 1.6677793 5.7660492 0.28924 0.773317
Age_3:I(DiscrimCauseComp^2) -0.1611006 0.5921529 -0.27206 0.786439
Residual standard error: 360.8561 on 65 degrees of freedom
Multiple R-squared: 0.06846148, Adjusted R-squared: -0.03185805
F-statistic: 0.6824342 on 7 and 65 DF, p-value: 0.6863119
**************Regress Left_OrIFG_orbital_part_of_the_i on DiscrimCauseSum **************
Call:
lm(formula = Left_OrIFG_orbital_part_of_the_i ~ Age_3 * DiscrimCauseSum +
Age_3 * I(DiscrimCauseSum^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-756.32367 -256.87864 -2.10486 181.60727 1043.05558
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -183.80208886 1869.41157666 -0.09832 0.92198
Age_3 21.56546792 38.33484264 0.56256 0.57567
DiscrimCauseSum 135.82501658 197.34942149 0.68825 0.49375
I(DiscrimCauseSum^2) -3.56248998 4.79066667 -0.74363 0.45978
Sex 129.73798488 90.13681370 1.43935 0.15485
PovStat -25.61698478 91.31683806 -0.28053 0.77996
Age_3:DiscrimCauseSum -2.20924091 3.96417308 -0.55730 0.57924
Age_3:I(DiscrimCauseSum^2) 0.05965486 0.09474911 0.62961 0.53116
Residual standard error: 361.0691 on 65 degrees of freedom
Multiple R-squared: 0.06736164, Adjusted R-squared: -0.03307634
F-statistic: 0.6706789 on 7 and 65 DF, p-value: 0.695991
**************Regress Left_OrIFG_orbital_part_of_the_i on Discrim02a **************
Call:
lm(formula = Left_OrIFG_orbital_part_of_the_i ~ Age_3 * Discrim02a +
Age_3 * I(Discrim02a^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-810.11415 -234.37963 0.68652 187.90996 1033.80415
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1275.439954 1089.358129 1.17082 0.24595
Age_3 -6.102252 21.398132 -0.28518 0.77642
Discrim02a -539.127014 1162.821856 -0.46364 0.64446
I(Discrim02a^2) 154.141582 251.684525 0.61244 0.54238
Sex 139.887296 91.470597 1.52931 0.13104
PovStat -1.601710 91.782218 -0.01745 0.98613
Age_3:Discrim02a 13.288298 22.489182 0.59088 0.55665
Age_3:I(Discrim02a^2) -3.427609 4.844070 -0.70759 0.48173
Residual standard error: 358.7836 on 65 degrees of freedom
Multiple R-squared: 0.07913099, Adjusted R-squared: -0.02003952
F-statistic: 0.7979286 on 7 and 65 DF, p-value: 0.591858
**************Regress Left_OrIFG_orbital_part_of_the_i on Discrim02b **************
Call:
lm(formula = Left_OrIFG_orbital_part_of_the_i ~ Age_3 * Discrim02b +
Age_3 * I(Discrim02b^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-809.30474 -266.49443 10.51211 213.07795 1035.89842
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1157.348316 1100.106160 1.05203 0.29668
Age_3 -5.135057 21.819955 -0.23534 0.81469
Discrim02b -346.499268 1137.906298 -0.30451 0.76172
I(Discrim02b^2) 104.635471 244.635043 0.42772 0.67027
Sex 132.685124 90.120083 1.47231 0.14576
PovStat -13.100408 91.917572 -0.14252 0.88711
Age_3:Discrim02b 10.941255 22.036436 0.49651 0.62121
Age_3:I(Discrim02b^2) -2.771075 4.711249 -0.58818 0.55845
Residual standard error: 358.2927 on 65 degrees of freedom
Multiple R-squared: 0.08164944, Adjusted R-squared: -0.01724985
F-statistic: 0.8255816 on 7 and 65 DF, p-value: 0.5697594
**************Regress Right_OrIFG_orbital_part_of_the_ on WillDiscComp **************
Call:
lm(formula = Right_OrIFG_orbital_part_of_the_ ~ Age_3 * WillDiscComp +
Age_3 * I(WillDiscComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-778.66819 -167.45151 -16.42383 175.42024 576.70214
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 990.25229620 509.19465478 1.94474 0.056135
Age_3 0.22205363 10.28196330 0.02160 0.982836
WillDiscComp 34.11880239 72.05743674 0.47349 0.637447
I(WillDiscComp^2) -1.13500103 2.05925203 -0.55117 0.583406
Sex -94.65297226 77.52688492 -1.22091 0.226532
PovStat -71.97843430 76.25240183 -0.94395 0.348691
Age_3:WillDiscComp -0.31500840 1.45404755 -0.21664 0.829166
Age_3:I(WillDiscComp^2) 0.01293509 0.04107522 0.31491 0.753837
Residual standard error: 302.1183 on 65 degrees of freedom
Multiple R-squared: 0.06245252, Adjusted R-squared: -0.03851413
F-statistic: 0.618546 on 7 and 65 DF, p-value: 0.7386637
**************Regress Right_OrIFG_orbital_part_of_the_ on RaceDiscComp **************
Call:
lm(formula = Right_OrIFG_orbital_part_of_the_ ~ Age_3 * RaceDiscComp +
Age_3 * I(RaceDiscComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-729.10923 -154.14643 -21.95099 148.91856 629.12377
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -10042.579977 5529.464556 -1.81619 0.073952
Age_3 191.145281 103.472890 1.84730 0.069256
RaceDiscComp 3173.517013 1457.127968 2.17793 0.033046
I(RaceDiscComp^2) -217.922472 92.926713 -2.34510 0.022086
Sex -99.057813 72.621178 -1.36403 0.177261
PovStat -88.730424 72.154363 -1.22973 0.223231
Age_3:RaceDiscComp -54.560374 27.045779 -2.01733 0.047794
Age_3:I(RaceDiscComp^2) 3.764187 1.712255 2.19838 0.031488
Residual standard error: 289.3646 on 65 degrees of freedom
Multiple R-squared: 0.1399375, Adjusted R-squared: 0.04731542
F-statistic: 1.510844 on 7 and 65 DF, p-value: 0.1793208
**************Regress Right_OrIFG_orbital_part_of_the_ on DiscrimCauseComp **************
Call:
lm(formula = Right_OrIFG_orbital_part_of_the_ ~ Age_3 * DiscrimCauseComp +
Age_3 * I(DiscrimCauseComp^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-940.11055 -176.89113 -12.31339 177.21821 598.15474
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 997.8090354 471.1785142 2.11769 0.038031
Age_3 0.5817005 10.2564116 0.05672 0.954946
DiscrimCauseComp 235.3505604 229.5694422 1.02518 0.309077
I(DiscrimCauseComp^2) -34.4768278 25.0333736 -1.37723 0.173164
Sex -107.1388848 75.9603343 -1.41046 0.163172
PovStat -67.7410875 75.8722168 -0.89283 0.375241
Age_3:DiscrimCauseComp -3.6829803 4.7771176 -0.77096 0.443522
Age_3:I(DiscrimCauseComp^2) 0.5852979 0.4905931 1.19304 0.237190
Residual standard error: 298.9659 on 65 degrees of freedom
Multiple R-squared: 0.08191587, Adjusted R-squared: -0.01695473
F-statistic: 0.828516 on 7 and 65 DF, p-value: 0.5674326
**************Regress Right_OrIFG_orbital_part_of_the_ on DiscrimCauseSum **************
Call:
lm(formula = Right_OrIFG_orbital_part_of_the_ ~ Age_3 * DiscrimCauseSum +
Age_3 * I(DiscrimCauseSum^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-952.0529 -156.3706 4.5206 177.5110 630.0303
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 689.91539431 1583.19578988 0.43577 0.66444
Age_3 7.57656711 32.46559625 0.23337 0.81621
DiscrimCauseSum 66.20699934 167.13428821 0.39613 0.69331
I(DiscrimCauseSum^2) -2.05247241 4.05719286 -0.50588 0.61465
Sex -97.02187071 76.33643962 -1.27098 0.20827
PovStat -74.20367369 77.33579666 -0.95950 0.34086
Age_3:DiscrimCauseSum -1.22941617 3.35723936 -0.36620 0.71541
Age_3:I(DiscrimCauseSum^2) 0.03900867 0.08024257 0.48613 0.62851
Residual standard error: 305.7877 on 65 degrees of freedom
Multiple R-squared: 0.03954026, Adjusted R-squared: -0.06389387
F-statistic: 0.3822748 on 7 and 65 DF, p-value: 0.9094986
**************Regress Right_OrIFG_orbital_part_of_the_ on Discrim02a **************
Call:
lm(formula = Right_OrIFG_orbital_part_of_the_ ~ Age_3 * Discrim02a +
Age_3 * I(Discrim02a^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-942.74316 -160.11806 -15.42937 165.29745 632.80244
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1367.2714207 929.7856404 1.47052 0.14624
Age_3 -5.0948805 18.2636684 -0.27896 0.78116
Discrim02a -223.7360464 992.4881770 -0.22543 0.82235
I(Discrim02a^2) 41.4728481 214.8170110 0.19306 0.84751
Sex -98.8546989 78.0717061 -1.26620 0.20996
PovStat -60.2474926 78.3376797 -0.76907 0.44463
Age_3:Discrim02a 4.0608047 19.1948982 0.21156 0.83312
Age_3:I(Discrim02a^2) -0.6567112 4.1344957 -0.15884 0.87429
Residual standard error: 306.2279 on 65 degrees of freedom
Multiple R-squared: 0.03677296, Adjusted R-squared: -0.06695918
F-statistic: 0.3544992 on 7 and 65 DF, p-value: 0.9250021
**************Regress Right_OrIFG_orbital_part_of_the_ on Discrim02b **************
Call:
lm(formula = Right_OrIFG_orbital_part_of_the_ ~ Age_3 * Discrim02b +
Age_3 * I(Discrim02b^2) + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-944.55545 -149.64862 -8.19275 160.90113 615.55369
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1406.0262393 928.6405326 1.51407 0.13486
Age_3 -8.6303313 18.4190353 -0.46856 0.64096
Discrim02b -180.7059106 960.5490358 -0.18813 0.85136
I(Discrim02b^2) 23.9759283 206.5055398 0.11610 0.90793
Sex -115.5095736 76.0737148 -1.51839 0.13377
PovStat -68.3403432 77.5910421 -0.88078 0.38168
Age_3:Discrim02b 5.6198635 18.6017753 0.30211 0.76353
Age_3:I(Discrim02b^2) -0.7046806 3.9769404 -0.17719 0.85991
Residual standard error: 302.4482 on 65 degrees of freedom
Multiple R-squared: 0.0604042, Adjusted R-squared: -0.04078304
F-statistic: 0.5969547 on 7 and 65 DF, p-value: 0.7561119
2016-12-22: /prj/hnd/git/dataMgr/Projects/Beatty/2016-12-21-Brain2/2016-12-22/2016-12-22-Brain2.Rmd