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 + I(Age_3^2) *
WillDiscComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-554.99185 -171.35024 -34.58394 159.93660 679.66315
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1000.70587768 1580.65408470 0.63310 0.5288921
Age_3 104.62747689 64.41507134 1.62427 0.1091581
WillDiscComp 137.65026067 107.93352362 1.27532 0.2067338
I(Age_3^2) -1.12023278 0.63982922 -1.75083 0.0846931
Sex 156.44244715 70.56591257 2.21697 0.0301291
PovStat -198.62427996 68.81191505 -2.88648 0.0052829
Age_3:WillDiscComp -5.84637395 4.53770512 -1.28840 0.2021745
WillDiscComp:I(Age_3^2) 0.06340345 0.04672889 1.35684 0.1795268
Residual standard error: 271.6423 on 65 degrees of freedom
Multiple R-squared: 0.2971963, Adjusted R-squared: 0.2215098
F-statistic: 3.926673 on 7 and 65 DF, p-value: 0.001250347
**************Regress Left_Hippocampus on RaceDiscComp **************
Call:
lm(formula = Left_Hippocampus ~ Age_3 * RaceDiscComp + I(Age_3^2) *
RaceDiscComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-628.61319 -159.10330 -42.95111 170.17178 699.14643
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -35.2476443 5844.2136459 -0.00603 0.9952063
Age_3 167.1279551 229.1931828 0.72920 0.4684980
RaceDiscComp 328.0559413 862.7788603 0.38023 0.7050131
I(Age_3^2) -1.9236190 2.2046687 -0.87252 0.3861362
Sex 208.4712285 68.7338689 3.03302 0.0034769
PovStat -201.9490071 70.1494730 -2.87884 0.0053975
Age_3:RaceDiscComp -16.4454525 33.6555007 -0.48864 0.6267406
RaceDiscComp:I(Age_3^2) 0.1957293 0.3225971 0.60673 0.5461437
Residual standard error: 277.541 on 65 degrees of freedom
Multiple R-squared: 0.2663421, Adjusted R-squared: 0.1873328
F-statistic: 3.371022 on 7 and 65 DF, p-value: 0.003956482
**************Regress Left_Hippocampus on DiscrimCauseComp **************
Call:
lm(formula = Left_Hippocampus ~ Age_3 * DiscrimCauseComp + I(Age_3^2) *
DiscrimCauseComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-564.63894 -144.20193 -13.46256 158.09777 796.39399
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1735.80250448 1692.46534309 1.02561 0.3088791
Age_3 75.62561620 69.43541033 1.08915 0.2801091
DiscrimCauseComp 216.31300252 412.79965951 0.52401 0.6020508
I(Age_3^2) -0.82838141 0.68715853 -1.20552 0.2323740
Sex 181.19286168 71.49334297 2.53440 0.0136819
PovStat -206.77965075 71.63949396 -2.88639 0.0052842
Age_3:DiscrimCauseComp -9.07926658 16.77522692 -0.54123 0.5901989
DiscrimCauseComp:I(Age_3^2) 0.09814626 0.16558661 0.59272 0.5554261
Residual standard error: 279.6766 on 65 degrees of freedom
Multiple R-squared: 0.2550083, Adjusted R-squared: 0.1747784
F-statistic: 3.178471 on 7 and 65 DF, p-value: 0.005915342
**************Regress Left_Hippocampus on DiscrimCauseSum **************
Call:
lm(formula = Left_Hippocampus ~ Age_3 * DiscrimCauseSum + I(Age_3^2) *
DiscrimCauseSum + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-588.70417 -147.48773 -39.25632 148.98733 743.67411
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2767.618969032 3239.401969086 0.85436 0.3960429
Age_3 35.714061040 132.210608075 0.27013 0.7879160
DiscrimCauseSum -33.552600718 189.790491892 -0.17679 0.8602250
I(Age_3^2) -0.450901329 1.307736006 -0.34480 0.7313614
Sex 198.607964692 71.336274737 2.78411 0.0070223
PovStat -205.525954366 72.248933907 -2.84469 0.0059383
Age_3:DiscrimCauseSum 1.108425460 7.708354034 0.14380 0.8861070
DiscrimCauseSum:I(Age_3^2) -0.007443735 0.076055085 -0.09787 0.9223344
Residual standard error: 283.0699 on 65 degrees of freedom
Multiple R-squared: 0.2368208, Adjusted R-squared: 0.1546322
F-statistic: 2.881433 on 7 and 65 DF, p-value: 0.01101588
**************Regress Left_Hippocampus on Discrim02a **************
Call:
lm(formula = Left_Hippocampus ~ Age_3 * Discrim02a + I(Age_3^2) *
Discrim02a + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-594.68159 -165.34779 -17.43079 151.87863 651.44793
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 378.9000260 2026.2383796 0.18700 0.8522456
Age_3 137.0856430 81.5013628 1.68200 0.0973667
Discrim02a 1210.9090744 1066.5030516 1.13540 0.2603765
I(Age_3^2) -1.4865665 0.7953939 -1.86897 0.0661338
Sex 197.0531829 69.9542285 2.81689 0.0064151
PovStat -180.2939053 69.5047002 -2.59398 0.0117109
Age_3:Discrim02a -54.6657457 43.2888798 -1.26281 0.2111680
Discrim02a:I(Age_3^2) 0.5962490 0.4260650 1.39943 0.1664378
Residual standard error: 273.1512 on 65 degrees of freedom
Multiple R-squared: 0.289367, Adjusted R-squared: 0.2128373
F-statistic: 3.781106 on 7 and 65 DF, p-value: 0.001688163
**************Regress Left_Hippocampus on Discrim02b **************
Call:
lm(formula = Left_Hippocampus ~ Age_3 * Discrim02b + I(Age_3^2) *
Discrim02b + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-610.14085 -173.18418 -0.08752 148.80000 674.97293
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 626.4386393 1987.9195050 0.31512 0.7536779
Age_3 128.1188931 80.2228521 1.59704 0.1151080
Discrim02b 927.1136797 991.6083568 0.93496 0.3532697
I(Age_3^2) -1.3973283 0.7867691 -1.77603 0.0804077
Sex 205.0095168 70.5677734 2.90514 0.0050123
PovStat -193.3963492 70.3565514 -2.74880 0.0077351
Age_3:Discrim02b -43.1367543 40.2035243 -1.07296 0.2872566
Discrim02b:I(Age_3^2) 0.4773862 0.3965303 1.20391 0.2329909
Residual standard error: 276.8521 on 65 degrees of freedom
Multiple R-squared: 0.2699801, Adjusted R-squared: 0.1913625
F-statistic: 3.434095 on 7 and 65 DF, p-value: 0.003469025
**************Regress Right_Hippocampus on WillDiscComp **************
Call:
lm(formula = Right_Hippocampus ~ Age_3 * WillDiscComp + I(Age_3^2) *
WillDiscComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-386.35661 -219.53192 -10.03868 146.53168 599.52868
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2937.413544947 1545.740663999 1.90033 0.0618269
Age_3 31.596568510 62.992273961 0.50159 0.6176476
WillDiscComp 22.193884593 105.549492509 0.21027 0.8341147
I(Age_3^2) -0.344747187 0.625696697 -0.55098 0.5835354
Sex 164.969699552 69.007255672 2.39061 0.0197265
PovStat -215.536521170 67.292000376 -3.20300 0.0021072
Age_3:WillDiscComp -0.756225852 4.437476485 -0.17042 0.8652108
WillDiscComp:I(Age_3^2) 0.009263774 0.045696740 0.20272 0.8399849
Residual standard error: 265.6423 on 65 degrees of freedom
Multiple R-squared: 0.3023782, Adjusted R-squared: 0.2272497
F-statistic: 4.024813 on 7 and 65 DF, p-value: 0.001021982
**************Regress Right_Hippocampus on RaceDiscComp **************
Call:
lm(formula = Right_Hippocampus ~ Age_3 * RaceDiscComp + I(Age_3^2) *
RaceDiscComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-401.80535 -190.42098 9.98456 142.95943 599.70117
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 3136.93092037 5583.38303851 0.56183 0.5761618
Age_3 39.73326032 218.96415961 0.18146 0.8565711
RaceDiscComp -6.91564895 824.27254487 -0.00839 0.9933315
I(Age_3^2) -0.63391501 2.10627310 -0.30097 0.7644016
Sex 199.68319694 65.66623689 3.04088 0.0033986
PovStat -206.67994858 67.01866179 -3.08392 0.0029979
Age_3:RaceDiscComp -1.67852009 32.15343642 -0.05220 0.9585267
RaceDiscComp:I(Age_3^2) 0.04750456 0.30819942 0.15414 0.8779802
Residual standard error: 265.1542 on 65 degrees of freedom
Multiple R-squared: 0.3049394, Adjusted R-squared: 0.2300867
F-statistic: 4.073861 on 7 and 65 DF, p-value: 0.0009242104
**************Regress Right_Hippocampus on DiscrimCauseComp **************
Call:
lm(formula = Right_Hippocampus ~ Age_3 * DiscrimCauseComp + I(Age_3^2) *
DiscrimCauseComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-441.11987 -210.30987 14.30974 130.30082 627.94313
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2504.41128864 1659.71797986 1.50894 0.1361604
Age_3 51.26986361 68.09191068 0.75295 0.4541979
DiscrimCauseComp 149.81176634 404.81243517 0.37008 0.7125283
I(Age_3^2) -0.53359560 0.67386276 -0.79185 0.4313307
Sex 201.02382100 70.11002456 2.86726 0.0055755
PovStat -213.65513461 70.25334768 -3.04121 0.0033953
Age_3:DiscrimCauseComp -5.76423244 16.45064453 -0.35040 0.7271749
DiscrimCauseComp:I(Age_3^2) 0.05697589 0.16238269 0.35087 0.7268174
Residual standard error: 274.2652 on 65 degrees of freedom
Multiple R-squared: 0.2563529, Adjusted R-squared: 0.1762678
F-statistic: 3.201007 on 7 and 65 DF, p-value: 0.005643045
**************Regress Right_Hippocampus on DiscrimCauseSum **************
Call:
lm(formula = Right_Hippocampus ~ Age_3 * DiscrimCauseSum + I(Age_3^2) *
DiscrimCauseSum + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-453.6187 -207.2405 0.1281 153.1716 632.3907
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2638.115905101 3151.265911147 0.83716 0.4055698
Age_3 46.144926005 128.613486778 0.35879 0.7209168
DiscrimCauseSum 13.356775827 184.626765393 0.07234 0.9425497
I(Age_3^2) -0.482670031 1.272155766 -0.37941 0.7056193
Sex 210.674897763 69.395392407 3.03586 0.0034484
PovStat -211.050010838 70.283220394 -3.00285 0.0037935
Age_3:DiscrimCauseSum -0.532529890 7.498628923 -0.07102 0.9436023
DiscrimCauseSum:I(Age_3^2) 0.005618975 0.073985816 0.07595 0.9396948
Residual standard error: 275.3683 on 65 degrees of freedom
Multiple R-squared: 0.2503589, Adjusted R-squared: 0.1696283
F-statistic: 3.101166 on 7 and 65 DF, p-value: 0.006953727
**************Regress Right_Hippocampus on Discrim02a **************
Call:
lm(formula = Right_Hippocampus ~ Age_3 * Discrim02a + I(Age_3^2) *
Discrim02a + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-433.95524 -213.18697 -12.05744 161.91310 651.83556
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1905.1891528 2007.7036805 0.94894 0.3461663
Age_3 82.4200596 80.7558418 1.02061 0.3112239
Discrim02a 649.5407573 1056.7473815 0.61466 0.5409248
I(Age_3^2) -0.9029740 0.7881182 -1.14573 0.2561059
Sex 203.3736974 69.3143331 2.93408 0.0046181
PovStat -199.2104054 68.8689168 -2.89260 0.0051927
Age_3:Discrim02a -30.2743695 42.8929015 -0.70581 0.4828265
Discrim02a:I(Age_3^2) 0.3390393 0.4221677 0.80309 0.4248488
Residual standard error: 270.6526 on 65 degrees of freedom
Multiple R-squared: 0.2758143, Adjusted R-squared: 0.197825
F-statistic: 3.536568 on 7 and 65 DF, p-value: 0.002802733
**************Regress Right_Hippocampus on Discrim02b **************
Call:
lm(formula = Right_Hippocampus ~ Age_3 * Discrim02b + I(Age_3^2) *
Discrim02b + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-419.04626 -203.64410 -20.52337 178.94550 644.04849
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1965.2490035 1944.8924920 1.01047 0.3160186
Age_3 82.9707488 78.4864892 1.05713 0.2943635
Discrim02b 495.7059237 970.1457445 0.51096 0.6111101
I(Age_3^2) -0.9200794 0.7697401 -1.19531 0.2363081
Sex 212.6786546 69.0403874 3.08050 0.0030281
PovStat -209.9628715 68.8337371 -3.05029 0.0033069
Age_3:Discrim02b -25.2983568 39.3333494 -0.64318 0.5223710
Discrim02b:I(Age_3^2) 0.2937711 0.3879477 0.75724 0.4516400
Residual standard error: 270.8598 on 65 degrees of freedom
Multiple R-squared: 0.2747049, Adjusted R-squared: 0.1965962
F-statistic: 3.516956 on 7 and 65 DF, p-value: 0.002919405
**************Regress Left_Amygdala on WillDiscComp **************
Call:
lm(formula = Left_Amygdala ~ Age_3 * WillDiscComp + I(Age_3^2) *
WillDiscComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-230.876924 -51.627434 -6.368046 81.566667 151.026015
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -180.88200207 558.26738273 -0.32401 0.7469738
Age_3 54.47860688 22.75060282 2.39460 0.0195310
WillDiscComp 65.26642014 38.12077944 1.71210 0.0916466
I(Age_3^2) -0.58429963 0.22597973 -2.58563 0.0119708
Sex 76.10995651 24.92300352 3.05380 0.0032733
PovStat -65.30789542 24.30351339 -2.68718 0.0091400
Age_3:WillDiscComp -2.90413795 1.60266107 -1.81207 0.0745943
WillDiscComp:I(Age_3^2) 0.03225220 0.01650406 1.95420 0.0549826
Residual standard error: 95.94069 on 65 degrees of freedom
Multiple R-squared: 0.3706444, Adjusted R-squared: 0.3028676
F-statistic: 5.468606 on 7 and 65 DF, p-value: 0.00005713196
**************Regress Left_Amygdala on RaceDiscComp **************
Call:
lm(formula = Left_Amygdala ~ Age_3 * RaceDiscComp + I(Age_3^2) *
RaceDiscComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-284.541678 -45.854749 4.161218 65.621206 138.152170
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1138.689965273 2076.590886986 0.54835 0.5853329
Age_3 12.867377886 81.437898006 0.15800 0.8749448
RaceDiscComp -120.639571643 306.566259786 -0.39352 0.6952242
I(Age_3^2) -0.274588674 0.783372282 -0.35052 0.7270809
Sex 98.904882190 24.422811077 4.04969 0.0001391
PovStat -65.955082840 24.925809562 -2.64606 0.0102032
Age_3:RaceDiscComp 2.801482520 11.958615876 0.23426 0.8155158
RaceDiscComp:I(Age_3^2) -0.008017294 0.114626581 -0.06994 0.9444540
Residual standard error: 98.61706 on 65 degrees of freedom
Multiple R-squared: 0.3350415, Adjusted R-squared: 0.2634306
F-statistic: 4.678638 on 7 and 65 DF, p-value: 0.0002712463
**************Regress Left_Amygdala on DiscrimCauseComp **************
Call:
lm(formula = Left_Amygdala ~ Age_3 * DiscrimCauseComp + I(Age_3^2) *
DiscrimCauseComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-256.238775 -60.356647 -0.761151 70.898282 176.289341
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 81.38490484 603.60558858 0.13483 0.8931619
Age_3 41.73433431 24.76363956 1.68531 0.0967250
DiscrimCauseComp 130.00818535 147.22202878 0.88308 0.3804498
I(Age_3^2) -0.43607402 0.24507015 -1.77938 0.0798518
Sex 85.18078244 25.49758643 3.34074 0.0013879
PovStat -68.53292805 25.54971013 -2.68234 0.0092597
Age_3:DiscrimCauseComp -5.20877533 5.98276399 -0.87063 0.3871602
DiscrimCauseComp:I(Age_3^2) 0.05327822 0.05905527 0.90218 0.3702947
Residual standard error: 99.74464 on 65 degrees of freedom
Multiple R-squared: 0.3197484, Adjusted R-squared: 0.2464905
F-statistic: 4.364696 on 7 and 65 DF, p-value: 0.000510833
**************Regress Left_Amygdala on DiscrimCauseSum **************
Call:
lm(formula = Left_Amygdala ~ Age_3 * DiscrimCauseSum + I(Age_3^2) *
DiscrimCauseSum + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-255.691653 -49.904844 0.884178 72.796618 186.996979
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 154.456376839 1159.558783434 0.13320 0.89444460
Age_3 39.572283541 47.325393181 0.83617 0.40612024
DiscrimCauseSum 16.660750851 67.936376525 0.24524 0.80704285
I(Age_3^2) -0.424371636 0.468110098 -0.90656 0.36798606
Sex 91.424028898 25.535146530 3.58032 0.00065551
PovStat -68.732276675 25.861837063 -2.65767 0.00989202
Age_3:DiscrimCauseSum -0.734028114 2.759240660 -0.26603 0.79106166
DiscrimCauseSum:I(Age_3^2) 0.008447062 0.027224266 0.31028 0.75734305
Residual standard error: 101.3262 on 65 degrees of freedom
Multiple R-squared: 0.2980056, Adjusted R-squared: 0.2224062
F-statistic: 3.941905 on 7 and 65 DF, p-value: 0.001211767
**************Regress Left_Amygdala on Discrim02a **************
Call:
lm(formula = Left_Amygdala ~ Age_3 * Discrim02a + I(Age_3^2) *
Discrim02a + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-233.675243 -52.861306 5.206022 72.378232 140.648812
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 135.2045085 665.0603414 0.20330 0.8395383
Age_3 45.0488866 26.7507144 1.68403 0.0969736
Discrim02a 265.3606711 350.0520426 0.75806 0.4511545
I(Age_3^2) -0.5267389 0.2610675 -2.01763 0.0477615
Sex 78.9755210 22.9606662 3.43960 0.0010221
PovStat -57.7836420 22.8131202 -2.53291 0.0137348
Age_3:Discrim02a -14.2034994 14.2084552 -0.99965 0.3211863
Discrim02a:I(Age_3^2) 0.1801793 0.1398448 1.28842 0.2021661
Residual standard error: 89.65481 on 65 degrees of freedom
Multiple R-squared: 0.4504115, Adjusted R-squared: 0.391225
F-statistic: 7.610043 on 7 and 65 DF, p-value: 0.000001096274
**************Regress Left_Amygdala on Discrim02b **************
Call:
lm(formula = Left_Amygdala ~ Age_3 * Discrim02b + I(Age_3^2) *
Discrim02b + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-270.845190 -57.891814 7.098541 75.548227 139.854383
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 180.0646706 696.7950603 0.25842 0.7969005
Age_3 42.6150742 28.1192910 1.51551 0.1344915
Discrim02b 161.3479464 347.5733313 0.46421 0.6440464
I(Age_3^2) -0.4883147 0.2757742 -1.77071 0.0812984
Sex 87.6118084 24.7350437 3.54201 0.0007405
PovStat -65.1050051 24.6610073 -2.64000 0.0103691
Age_3:Discrim02b -9.3751030 14.0919273 -0.66528 0.5082241
Discrim02b:I(Age_3^2) 0.1222886 0.1389897 0.87984 0.3821876
Residual standard error: 97.04072 on 65 degrees of freedom
Multiple R-squared: 0.3561296, Adjusted R-squared: 0.2867897
F-statistic: 5.135998 on 7 and 65 DF, p-value: 0.000109383
**************Regress Right_Amygdala on WillDiscComp **************
Call:
lm(formula = Right_Amygdala ~ Age_3 * WillDiscComp + I(Age_3^2) *
WillDiscComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-228.260285 -70.740317 -5.823026 50.574088 226.115504
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 910.02422425 625.96019905 1.45381 0.1508119
Age_3 5.69640487 25.50923144 0.22331 0.8239964
WillDiscComp -29.97359242 42.74312171 -0.70125 0.4856504
I(Age_3^2) -0.06630535 0.25338094 -0.26168 0.7943937
Sex 91.78193763 27.94504699 3.28437 0.0016486
PovStat -53.74314258 27.25044047 -1.97219 0.0528451
Age_3:WillDiscComp 1.38187622 1.79699204 0.76899 0.4446821
WillDiscComp:I(Age_3^2) -0.01426415 0.01850526 -0.77082 0.4436089
Residual standard error: 107.574 on 65 degrees of freedom
Multiple R-squared: 0.2965538, Adjusted R-squared: 0.2207981
F-statistic: 3.914605 on 7 and 65 DF, p-value: 0.001281795
**************Regress Right_Amygdala on RaceDiscComp **************
Call:
lm(formula = Right_Amygdala ~ Age_3 * RaceDiscComp + I(Age_3^2) *
RaceDiscComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-253.33538 -60.41452 -10.18432 65.66003 219.30557
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2142.19117948 2266.87473786 0.94500 0.34815974
Age_3 -31.96207869 88.90028115 -0.35953 0.72036607
RaceDiscComp -243.94270043 334.65778654 -0.72893 0.46866174
I(Age_3^2) 0.18396752 0.85515488 0.21513 0.83034131
Sex 103.66072668 26.66074180 3.88814 0.00023987
PovStat -48.95369490 27.20983145 -1.79912 0.07664220
Age_3:RaceDiscComp 8.39168145 13.05441741 0.64282 0.52260005
RaceDiscComp:I(Age_3^2) -0.06651695 0.12513014 -0.53158 0.59682751
Residual standard error: 107.6536 on 65 degrees of freedom
Multiple R-squared: 0.2955121, Adjusted R-squared: 0.2196442
F-statistic: 3.895086 on 7 and 65 DF, p-value: 0.001334369
**************Regress Right_Amygdala on DiscrimCauseComp **************
Call:
lm(formula = Right_Amygdala ~ Age_3 * DiscrimCauseComp + I(Age_3^2) *
DiscrimCauseComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-226.625875 -70.609412 -9.584572 55.119644 224.197933
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 434.35197331 651.51809200 0.66668 0.5073382
Age_3 26.26288376 26.72930719 0.98255 0.3294721
DiscrimCauseComp 73.95543491 158.90809678 0.46540 0.6432024
I(Age_3^2) -0.28237030 0.26452312 -1.06747 0.2897087
Sex 91.67930322 27.52151268 3.33119 0.0014292
PovStat -56.92897979 27.57777381 -2.06431 0.0429839
Age_3:DiscrimCauseComp -2.56922377 6.45765887 -0.39786 0.6920394
DiscrimCauseComp:I(Age_3^2) 0.02478548 0.06374291 0.38884 0.6986690
Residual standard error: 107.6621 on 65 degrees of freedom
Multiple R-squared: 0.2954012, Adjusted R-squared: 0.2195213
F-statistic: 3.893011 on 7 and 65 DF, p-value: 0.001340085
**************Regress Right_Amygdala on DiscrimCauseSum **************
Call:
lm(formula = Right_Amygdala ~ Age_3 * DiscrimCauseSum + I(Age_3^2) *
DiscrimCauseSum + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-212.908581 -66.800502 -6.912801 60.135990 232.090714
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 229.35475825 1234.90531303 0.18573 0.85323754
Age_3 36.38366595 50.40053192 0.72189 0.47295081
DiscrimCauseSum 22.62398010 72.35078852 0.31270 0.75551082
I(Age_3^2) -0.40849352 0.49852725 -0.81940 0.41555228
Sex 94.84722907 27.19438511 3.48775 0.00087897
PovStat -57.63501550 27.54230355 -2.09260 0.04029351
Age_3:DiscrimCauseSum -0.94159080 2.93853231 -0.32043 0.74967104
DiscrimCauseSum:I(Age_3^2) 0.01081851 0.02899326 0.37314 0.71025928
Residual standard error: 107.9102 on 65 degrees of freedom
Multiple R-squared: 0.29215, Adjusted R-squared: 0.21592
F-statistic: 3.83248 on 7 and 65 DF, p-value: 0.001518229
**************Regress Right_Amygdala on Discrim02a **************
Call:
lm(formula = Right_Amygdala ~ Age_3 * Discrim02a + I(Age_3^2) *
Discrim02a + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-203.99647 -63.03843 -15.25058 67.33560 213.36676
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 879.91926891 787.88172990 1.11682 0.2681842
Age_3 12.32908720 31.69095766 0.38904 0.6985173
Discrim02a -156.96972552 414.69862464 -0.37852 0.7062814
I(Age_3^2) -0.18450838 0.30928066 -0.59657 0.5528649
Sex 89.35291074 27.20097452 3.28492 0.0016459
PovStat -48.44658116 27.02618013 -1.79258 0.0776935
Age_3:Discrim02a 4.54505370 16.83243089 0.27002 0.7880021
Discrim02a:I(Age_3^2) -0.02040662 0.16567096 -0.12318 0.9023481
Residual standard error: 106.212 on 65 degrees of freedom
Multiple R-squared: 0.3142537, Adjusted R-squared: 0.2404041
F-statistic: 4.255321 on 7 and 65 DF, p-value: 0.0006379857
**************Regress Right_Amygdala on Discrim02b **************
Call:
lm(formula = Right_Amygdala ~ Age_3 * Discrim02b + I(Age_3^2) *
Discrim02b + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-239.37798 -65.69506 -12.78102 75.27306 232.58739
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 874.0712900 790.0177663 1.10639 0.27263383
Age_3 10.7615564 31.8813102 0.33755 0.73678952
Discrim02b -220.3975251 394.0744165 -0.55928 0.57789340
I(Age_3^2) -0.1403592 0.3126694 -0.44891 0.65499249
Sex 100.5715017 28.0442918 3.58617 0.00064339
PovStat -52.6677260 27.9603502 -1.88366 0.06408588
Age_3:Discrim02b 8.1298816 15.9772558 0.50884 0.61258666
Discrim02b:I(Age_3^2) -0.0715987 0.1575848 -0.45435 0.65109043
Residual standard error: 110.0236 on 65 degrees of freedom
Multiple R-squared: 0.2641523, Adjusted R-squared: 0.1849072
F-statistic: 3.333357 on 7 and 65 DF, p-value: 0.004279952
**************Regress Left_ACgG_anterior_cingulate_gyr on WillDiscComp **************
Call:
lm(formula = Left_ACgG_anterior_cingulate_gyr ~ Age_3 * WillDiscComp +
I(Age_3^2) * WillDiscComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-1523.6884 -364.5938 -27.5745 305.7785 1669.9674
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 8888.93187075 3558.63463446 2.49785 0.015035
Age_3 -181.35651472 145.02205515 -1.25054 0.215584
WillDiscComp -159.55162575 242.99812280 -0.65660 0.513759
I(Age_3^2) 1.56847282 1.44049127 1.08885 0.280243
Sex 88.72209910 158.86986464 0.55846 0.578451
PovStat 284.03294374 154.92097008 1.83341 0.071322
Age_3:WillDiscComp 7.01458499 10.21604586 0.68662 0.494762
WillDiscComp:I(Age_3^2) -0.07001846 0.10520394 -0.66555 0.508054
Residual standard error: 611.5669 on 65 degrees of freedom
Multiple R-squared: 0.2383342, Adjusted R-squared: 0.1563087
F-statistic: 2.90561 on 7 and 65 DF, p-value: 0.01047207
**************Regress Left_ACgG_anterior_cingulate_gyr on RaceDiscComp **************
Call:
lm(formula = Left_ACgG_anterior_cingulate_gyr ~ Age_3 * RaceDiscComp +
I(Age_3^2) * RaceDiscComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-1425.91033 -322.50521 -30.65973 420.19261 1443.42118
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -2386.7470252 12434.4333696 -0.19195 0.848382
Age_3 322.3184909 487.6425698 0.66097 0.510966
RaceDiscComp 1399.6149810 1835.6902915 0.76245 0.448552
I(Age_3^2) -3.9733523 4.6907605 -0.84706 0.400070
Sex 128.7884982 146.2415245 0.88066 0.381749
PovStat 294.4630882 149.2534327 1.97291 0.052762
Age_3:RaceDiscComp -62.2176810 71.6070812 -0.86888 0.388112
RaceDiscComp:I(Age_3^2) 0.6911863 0.6863733 1.00701 0.317663
Residual standard error: 590.5098 on 65 degrees of freedom
Multiple R-squared: 0.2898818, Adjusted R-squared: 0.2134075
F-statistic: 3.790579 on 7 and 65 DF, p-value: 0.001655441
**************Regress Left_ACgG_anterior_cingulate_gyr on DiscrimCauseComp **************
Call:
lm(formula = Left_ACgG_anterior_cingulate_gyr ~ Age_3 * DiscrimCauseComp +
I(Age_3^2) * DiscrimCauseComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-1590.36757 -321.89358 -39.25362 399.85442 1430.18714
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 7408.6221576501 3713.3980937782 1.99511 0.050227
Age_3 -111.6953944937 152.3465880247 -0.73317 0.466093
DiscrimCauseComp -41.3393566414 905.7139485923 -0.04564 0.963735
I(Age_3^2) 0.7868482072 1.5076782366 0.52189 0.603518
Sex 90.4119972967 156.8618492518 0.57638 0.566349
PovStat 271.8054560026 157.1825156669 1.72923 0.088514
Age_3:DiscrimCauseComp 1.5588935219 36.8061277663 0.04235 0.966346
DiscrimCauseComp:I(Age_3^2) 0.0002380779 0.3633096485 0.00066 0.999479
Residual standard error: 613.6318 on 65 degrees of freedom
Multiple R-squared: 0.2331823, Adjusted R-squared: 0.1506019
F-statistic: 2.823701 on 7 and 65 DF, p-value: 0.01243123
**************Regress Left_ACgG_anterior_cingulate_gyr on DiscrimCauseSum **************
Call:
lm(formula = Left_ACgG_anterior_cingulate_gyr ~ Age_3 * DiscrimCauseSum +
I(Age_3^2) * DiscrimCauseSum + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-1706.76933 -305.92159 -23.23772 404.78214 1430.69055
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 882.2143585 6791.7437395 0.12990 0.897051
Age_3 182.5313861 277.1933148 0.65850 0.512544
DiscrimCauseSum 378.7119252 397.9155404 0.95174 0.344755
I(Age_3^2) -2.4332674 2.7418048 -0.88747 0.378098
Sex 101.9508706 149.5639325 0.68165 0.497879
PovStat 257.9791503 151.4774175 1.70309 0.093329
Age_3:DiscrimCauseSum -17.0344529 16.1613674 -1.05402 0.295775
DiscrimCauseSum:I(Age_3^2) 0.1894634 0.1594574 1.18818 0.239088
Residual standard error: 593.4855 on 65 degrees of freedom
Multiple R-squared: 0.2827068, Adjusted R-squared: 0.2054598
F-statistic: 3.659779 on 7 and 65 DF, p-value: 0.002170126
**************Regress Left_ACgG_anterior_cingulate_gyr on Discrim02a **************
Call:
lm(formula = Left_ACgG_anterior_cingulate_gyr ~ Age_3 * Discrim02a +
I(Age_3^2) * Discrim02a + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-1431.1685 -300.5156 -36.6638 386.2646 1521.7254
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 5148.4061465 4430.7313025 1.16198 0.249494
Age_3 -5.0697428 178.2172537 -0.02845 0.977393
Discrim02a 1281.4773585 2332.0989783 0.54950 0.584549
I(Age_3^2) -0.4118637 1.7392705 -0.23680 0.813555
Sex 94.0279450 152.9673867 0.61469 0.540904
PovStat 332.6153185 151.9844131 2.18848 0.032234
Age_3:Discrim02a -62.4355416 94.6588500 -0.65958 0.511851
Discrim02a:I(Age_3^2) 0.7451427 0.9316671 0.79979 0.426743
Residual standard error: 597.2938 on 65 degrees of freedom
Multiple R-squared: 0.2734719, Adjusted R-squared: 0.1952304
F-statistic: 3.495229 on 7 and 65 DF, p-value: 0.003054394
**************Regress Left_ACgG_anterior_cingulate_gyr on Discrim02b **************
Call:
lm(formula = Left_ACgG_anterior_cingulate_gyr ~ Age_3 * Discrim02b +
I(Age_3^2) * Discrim02b + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-1502.93233 -341.13524 21.58424 343.81801 1573.18716
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1247.6162275 4218.5759039 0.29574 0.768369
Age_3 167.5408590 170.2413957 0.98414 0.328697
Discrim02b 3147.9395946 2104.2980411 1.49596 0.139505
I(Age_3^2) -2.1802793 1.6696075 -1.30586 0.196202
Sex 150.4673641 149.7522952 1.00478 0.318731
PovStat 315.0671804 149.3040596 2.11024 0.038691
Age_3:Discrim02b -145.4019293 85.3161399 -1.70427 0.093107
Discrim02b:I(Age_3^2) 1.5931349 0.8414793 1.89326 0.062777
Residual standard error: 587.5094 on 65 degrees of freedom
Multiple R-squared: 0.2970796, Adjusted R-squared: 0.2213805
F-statistic: 3.924479 on 7 and 65 DF, p-value: 0.001256004
**************Regress Right_ACgG_anterior_cingulate_gy on WillDiscComp **************
Call:
lm(formula = Right_ACgG_anterior_cingulate_gy ~ Age_3 * WillDiscComp +
I(Age_3^2) * WillDiscComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-1818.67288 -393.07304 4.90089 350.20170 2196.41552
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 12994.4504117 3813.0236769 3.40791 0.001128
Age_3 -354.6345801 155.3889586 -2.28224 0.025756
WillDiscComp -339.3013540 260.3688467 -1.30316 0.197119
I(Age_3^2) 3.0931219 1.5434648 2.00401 0.049239
Sex -14.0353558 170.2266790 -0.08245 0.934541
PovStat -212.8089280 165.9954976 -1.28202 0.204391
Age_3:WillDiscComp 14.1636515 10.9463400 1.29392 0.200273
WillDiscComp:I(Age_3^2) -0.1326252 0.1127244 -1.17654 0.243668
Residual standard error: 655.2848 on 65 degrees of freedom
Multiple R-squared: 0.3086871, Adjusted R-squared: 0.234238
F-statistic: 4.146285 on 7 and 65 DF, p-value: 0.0007969124
**************Regress Right_ACgG_anterior_cingulate_gy on RaceDiscComp **************
Call:
lm(formula = Right_ACgG_anterior_cingulate_gy ~ Age_3 * RaceDiscComp +
I(Age_3^2) * RaceDiscComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-1974.2631 -369.8566 -56.1419 348.7463 2109.4294
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 31810.5329710 14190.5191750 2.24168 0.028402
Age_3 -1019.5676234 556.5111840 -1.83207 0.071523
RaceDiscComp -3603.1835541 2094.9405177 -1.71995 0.090201
I(Age_3^2) 8.7464641 5.3532256 1.63387 0.107121
Sex 151.5401897 166.8948713 0.90800 0.367234
PovStat -139.6047723 170.3321443 -0.81960 0.415438
Age_3:RaceDiscComp 132.1634830 81.7199810 1.61727 0.110663
RaceDiscComp:I(Age_3^2) -1.1598147 0.7833082 -1.48066 0.143528
Residual standard error: 673.9061 on 65 degrees of freedom
Multiple R-squared: 0.2688386, Adjusted R-squared: 0.1900981
F-statistic: 3.414237 on 7 and 65 DF, p-value: 0.003615584
**************Regress Right_ACgG_anterior_cingulate_gy on DiscrimCauseComp **************
Call:
lm(formula = Right_ACgG_anterior_cingulate_gy ~ Age_3 * DiscrimCauseComp +
I(Age_3^2) * DiscrimCauseComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-2096.08302 -423.08213 -88.49287 452.35808 2154.85311
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 10094.6660672 4243.2838820 2.37897 0.020307
Age_3 -231.1675395 174.0857848 -1.32789 0.188857
DiscrimCauseComp -590.4056856 1034.9553974 -0.57046 0.570329
I(Age_3^2) 1.8845656 1.7228174 1.09389 0.278042
Sex 100.6515092 179.2453542 0.56153 0.576368
PovStat -198.7177734 179.6117783 -1.10637 0.272643
Age_3:DiscrimCauseComp 23.8909193 42.0582024 0.56804 0.571962
DiscrimCauseComp:I(Age_3^2) -0.2200843 0.4151524 -0.53013 0.597829
Residual standard error: 701.1944 on 65 degrees of freedom
Multiple R-squared: 0.2084264, Adjusted R-squared: 0.12318
F-statistic: 2.444987 on 7 and 65 DF, p-value: 0.02741106
**************Regress Right_ACgG_anterior_cingulate_gy on DiscrimCauseSum **************
Call:
lm(formula = Right_ACgG_anterior_cingulate_gy ~ Age_3 * DiscrimCauseSum +
I(Age_3^2) * DiscrimCauseSum + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-2162.5309 -431.7204 -85.1405 409.4410 2130.5456
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 11120.82919786 8091.69624174 1.37435 0.17405
Age_3 -266.96745489 330.24863561 -0.80838 0.42182
DiscrimCauseSum -223.00905884 474.07732187 -0.47041 0.63964
I(Age_3^2) 2.21075434 3.26659137 0.67678 0.50095
Sex 141.89019826 178.19074993 0.79628 0.42877
PovStat -173.79531679 180.47047960 -0.96301 0.33911
Age_3:DiscrimCauseSum 8.58428016 19.25468342 0.44583 0.65720
DiscrimCauseSum:I(Age_3^2) -0.07858264 0.18997786 -0.41364 0.68050
Residual standard error: 707.0798 on 65 degrees of freedom
Multiple R-squared: 0.1950826, Adjusted R-squared: 0.1083992
F-statistic: 2.250519 on 7 and 65 DF, p-value: 0.04100638
**************Regress Right_ACgG_anterior_cingulate_gy on Discrim02a **************
Call:
lm(formula = Right_ACgG_anterior_cingulate_gy ~ Age_3 * Discrim02a +
I(Age_3^2) * Discrim02a + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-1826.80111 -412.22405 -49.75815 336.35160 2231.20993
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 13085.8386027 5062.1885774 2.58502 0.01199
Age_3 -334.4820823 203.6163523 -1.64271 0.10527
Discrim02a -2864.2874349 2664.4641715 -1.07500 0.28635
I(Age_3^2) 2.7077760 1.9871472 1.36264 0.17770
Sex 43.7585288 174.7679344 0.25038 0.80308
PovStat -167.7044534 173.6448697 -0.96579 0.33773
Age_3:Discrim02a 106.0300929 108.1494039 0.98040 0.33052
Discrim02a:I(Age_3^2) -0.9006824 1.0644461 -0.84615 0.40057
Residual standard error: 682.4186 on 65 degrees of freedom
Multiple R-squared: 0.2502504, Adjusted R-squared: 0.1695081
F-statistic: 3.099373 on 7 and 65 DF, p-value: 0.00697986
**************Regress Right_ACgG_anterior_cingulate_gy on Discrim02b **************
Call:
lm(formula = Right_ACgG_anterior_cingulate_gy ~ Age_3 * Discrim02b +
I(Age_3^2) * Discrim02b + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-1939.33615 -417.38064 -59.75004 457.32370 2012.65506
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 10677.7299429 4907.4038031 2.17584 0.033208
Age_3 -217.9957482 198.0391705 -1.10077 0.275056
Discrim02b -1775.1563577 2447.8972158 -0.72518 0.470947
I(Age_3^2) 1.4830462 1.9422284 0.76358 0.447880
Sex 110.0189782 174.2045182 0.63155 0.529895
PovStat -196.5264908 173.6830927 -1.13152 0.261992
Age_3:Discrim02b 51.6006633 99.2469400 0.51992 0.604884
Discrim02b:I(Age_3^2) -0.3234241 0.9788798 -0.33040 0.742159
Residual standard error: 683.4406 on 65 degrees of freedom
Multiple R-squared: 0.2480032, Adjusted R-squared: 0.1670189
F-statistic: 3.062362 on 7 and 65 DF, p-value: 0.007542057
**************Regress Left_MFC_medial_frontal_cortex on WillDiscComp **************
Call:
lm(formula = Left_MFC_medial_frontal_cortex ~ Age_3 * WillDiscComp +
I(Age_3^2) * WillDiscComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-602.59347 -242.29909 -7.62581 161.89113 804.59059
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2787.39895854 1962.13798489 1.42059 0.160215
Age_3 -49.94928971 79.96136504 -0.62467 0.534376
WillDiscComp -47.99600812 133.98280408 -0.35823 0.721336
I(Age_3^2) 0.52007847 0.79424918 0.65481 0.514904
Sex 158.97883317 87.59668471 1.81490 0.074154
PovStat 56.63189110 85.41936762 0.66299 0.509684
Age_3:WillDiscComp 2.52107759 5.63286027 0.44757 0.655954
WillDiscComp:I(Age_3^2) -0.03020926 0.05800670 -0.52079 0.604283
Residual standard error: 337.202 on 65 degrees of freedom
Multiple R-squared: 0.08359729, Adjusted R-squared: -0.01509224
F-statistic: 0.8470736 on 7 and 65 DF, p-value: 0.5528046
**************Regress Left_MFC_medial_frontal_cortex on RaceDiscComp **************
Call:
lm(formula = Left_MFC_medial_frontal_cortex ~ Age_3 * RaceDiscComp +
I(Age_3^2) * RaceDiscComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-626.56953 -214.89138 -4.89766 189.18914 788.89108
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -2882.0600461 7092.7535097 -0.40634 0.685829
Age_3 195.7595371 278.1573109 0.70377 0.484088
RaceDiscComp 759.6669829 1047.1002876 0.72550 0.470752
I(Age_3^2) -2.0101714 2.6756674 -0.75128 0.455197
Sex 163.9838028 83.4179617 1.96581 0.053595
PovStat 46.3939121 85.1359911 0.54494 0.587660
Age_3:RaceDiscComp -31.9489544 40.8455586 -0.78219 0.436944
RaceDiscComp:I(Age_3^2) 0.3210064 0.3915158 0.81991 0.415266
Residual standard error: 336.834 on 65 degrees of freedom
Multiple R-squared: 0.08559614, Adjusted R-squared: -0.01287812
F-statistic: 0.8692234 on 7 and 65 DF, p-value: 0.5355587
**************Regress Left_MFC_medial_frontal_cortex on DiscrimCauseComp **************
Call:
lm(formula = Left_MFC_medial_frontal_cortex ~ Age_3 * DiscrimCauseComp +
I(Age_3^2) * DiscrimCauseComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-593.58882 -247.47204 -24.42111 156.38562 738.07222
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 3883.2763338 2040.3220779 1.90327 0.061436
Age_3 -91.3277045 83.7066480 -1.09104 0.279281
DiscrimCauseComp -419.9170957 497.6434303 -0.84381 0.401870
I(Age_3^2) 0.8952559 0.8283920 1.08072 0.283817
Sex 154.2130494 86.1875528 1.78927 0.078230
PovStat 46.5859683 86.3637426 0.53942 0.591443
Age_3:DiscrimCauseComp 17.9493594 20.2230823 0.88757 0.378046
DiscrimCauseComp:I(Age_3^2) -0.1836647 0.1996200 -0.92007 0.360938
Residual standard error: 337.1592 on 65 degrees of freedom
Multiple R-squared: 0.08382965, Adjusted R-squared: -0.01483485
F-statistic: 0.8496435 on 7 and 65 DF, p-value: 0.5507914
**************Regress Left_MFC_medial_frontal_cortex on DiscrimCauseSum **************
Call:
lm(formula = Left_MFC_medial_frontal_cortex ~ Age_3 * DiscrimCauseSum +
I(Age_3^2) * DiscrimCauseSum + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-616.28676 -263.57327 -26.70546 163.15046 777.16231
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 3667.90893241 3872.23898894 0.94723 0.347029
Age_3 -75.01436509 158.03876031 -0.47466 0.636622
DiscrimCauseSum -88.57411393 226.86722718 -0.39042 0.697501
I(Age_3^2) 0.69302006 1.56321025 0.44333 0.658998
Sex 163.04107746 85.27225303 1.91201 0.060285
PovStat 60.88778316 86.36320576 0.70502 0.483317
Age_3:DiscrimCauseSum 3.32752294 9.21422822 0.36113 0.719174
DiscrimCauseSum:I(Age_3^2) -0.03166250 0.09091291 -0.34827 0.728761
Residual standard error: 338.3693 on 65 degrees of freedom
Multiple R-squared: 0.07724144, Adjusted R-squared: -0.02213256
F-statistic: 0.7772802 on 7 and 65 DF, p-value: 0.608537
**************Regress Left_MFC_medial_frontal_cortex on Discrim02a **************
Call:
lm(formula = Left_MFC_medial_frontal_cortex ~ Age_3 * Discrim02a +
I(Age_3^2) * Discrim02a + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-580.3598 -226.0163 -3.4308 189.4175 673.9267
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -1371.0840348 2435.5058256 -0.56296 0.575401
Age_3 129.2499364 97.9633225 1.31937 0.191674
Discrim02a 2350.8698914 1281.9194529 1.83387 0.071252
I(Age_3^2) -1.3496071 0.9560507 -1.41165 0.162823
Sex 165.8036389 84.0838534 1.97188 0.052881
PovStat 82.0455299 83.5435277 0.98207 0.329707
Age_3:Discrim02a -97.9922373 52.0325348 -1.88329 0.064137
Discrim02a:I(Age_3^2) 0.9918569 0.5121233 1.93675 0.057124
Residual standard error: 328.3233 on 65 degrees of freedom
Multiple R-squared: 0.1312205, Adjusted R-squared: 0.03765961
F-statistic: 1.402515 on 7 and 65 DF, p-value: 0.2195604
**************Regress Left_MFC_medial_frontal_cortex on Discrim02b **************
Call:
lm(formula = Left_MFC_medial_frontal_cortex ~ Age_3 * Discrim02b +
I(Age_3^2) * Discrim02b + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-665.38861 -225.05260 -11.87794 199.26086 655.31133
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -1928.7539358 2361.7048447 -0.81668 0.417095
Age_3 149.4643249 95.3070273 1.56824 0.121681
Discrim02b 2418.3845368 1178.0588975 2.05286 0.044116
I(Age_3^2) -1.5028798 0.9347041 -1.60787 0.112711
Sex 186.9296191 83.8365195 2.22969 0.029229
PovStat 75.5081974 83.5855817 0.90336 0.369669
Age_3:Discrim02b -99.1488638 47.7629289 -2.07585 0.041868
Discrim02b:I(Age_3^2) 0.9768862 0.4710892 2.07368 0.042076
Residual standard error: 328.9081 on 65 degrees of freedom
Multiple R-squared: 0.1281229, Adjusted R-squared: 0.0342284
F-statistic: 1.364541 on 7 and 65 DF, p-value: 0.2354069
**************Regress Right_MFC_medial_frontal_cortex on WillDiscComp **************
Call:
lm(formula = Right_MFC_medial_frontal_cortex ~ Age_3 * WillDiscComp +
I(Age_3^2) * WillDiscComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-819.69656 -251.81964 -21.55764 147.06942 1148.47140
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2070.253748637 2151.217990248 0.96236 0.33943
Age_3 -19.079614399 87.666784052 -0.21764 0.82839
WillDiscComp 29.073313767 146.893959922 0.19792 0.84373
I(Age_3^2) 0.178647483 0.870786428 0.20516 0.83809
Sex 31.838207234 96.037875769 0.33152 0.74132
PovStat -105.079197536 93.650743090 -1.12203 0.26598
Age_3:WillDiscComp -0.280054727 6.175666764 -0.04535 0.96397
WillDiscComp:I(Age_3^2) -0.002336793 0.063596469 -0.03674 0.97080
Residual standard error: 369.6962 on 65 degrees of freedom
Multiple R-squared: 0.1319514, Adjusted R-squared: 0.03846922
F-statistic: 1.411514 on 7 and 65 DF, p-value: 0.2159419
**************Regress Right_MFC_medial_frontal_cortex on RaceDiscComp **************
Call:
lm(formula = Right_MFC_medial_frontal_cortex ~ Age_3 * RaceDiscComp +
I(Age_3^2) * RaceDiscComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-685.94253 -235.84695 -13.50824 184.03391 1156.92306
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -6233.6433922 7771.6756167 -0.80210 0.42542
Age_3 328.8370135 304.7826754 1.07892 0.28461
RaceDiscComp 1330.1764451 1147.3292795 1.15937 0.25055
I(Age_3^2) -3.4508209 2.9317837 -1.17704 0.24347
Sex 54.0716570 91.4027729 0.59158 0.55619
PovStat -108.3622222 93.2852531 -1.16162 0.24964
Age_3:RaceDiscComp -53.5858287 44.7553170 -1.19731 0.23554
RaceDiscComp:I(Age_3^2) 0.5442190 0.4289919 1.26860 0.20911
Residual standard error: 369.076 on 65 degrees of freedom
Multiple R-squared: 0.1348616, Adjusted R-squared: 0.04169287
F-statistic: 1.447498 on 7 and 65 DF, p-value: 0.2019836
**************Regress Right_MFC_medial_frontal_cortex on DiscrimCauseComp **************
Call:
lm(formula = Right_MFC_medial_frontal_cortex ~ Age_3 * DiscrimCauseComp +
I(Age_3^2) * DiscrimCauseComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-731.1823 -247.7241 -23.5425 151.5239 1164.5020
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 3910.5181259 2268.3090580 1.72398 0.089465
Age_3 -87.7773176 93.0600859 -0.94323 0.349055
DiscrimCauseComp -274.7629962 553.2504465 -0.49663 0.621123
I(Age_3^2) 0.7965256 0.9209571 0.86489 0.390281
Sex 34.5323081 95.8182087 0.36039 0.719721
PovStat -134.8851547 96.0140860 -1.40485 0.164828
Age_3:DiscrimCauseComp 13.3208756 22.4828233 0.59249 0.555577
DiscrimCauseComp:I(Age_3^2) -0.1392935 0.2219257 -0.62766 0.532427
Residual standard error: 374.8336 on 65 degrees of freedom
Multiple R-squared: 0.1076584, Adjusted R-squared: 0.01156002
F-statistic: 1.120294 on 7 and 65 DF, p-value: 0.3613932
**************Regress Right_MFC_medial_frontal_cortex on DiscrimCauseSum **************
Call:
lm(formula = Right_MFC_medial_frontal_cortex ~ Age_3 * DiscrimCauseSum +
I(Age_3^2) * DiscrimCauseSum + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-728.06497 -276.76380 -23.02734 163.76776 1188.37582
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 4467.8725252 4370.1011317 1.02237 0.31039
Age_3 -101.6697014 178.3581456 -0.57003 0.57062
DiscrimCauseSum -123.2952200 256.0360373 -0.48155 0.63174
I(Age_3^2) 0.8578765 1.7641956 0.48627 0.62841
Sex 54.7221685 96.2358911 0.56863 0.57157
PovStat -118.7032284 97.4671099 -1.21788 0.22767
Age_3:DiscrimCauseSum 4.8849561 10.3989215 0.46976 0.64010
DiscrimCauseSum:I(Age_3^2) -0.0447453 0.1026018 -0.43611 0.66420
Residual standard error: 381.8742 on 65 degrees of freedom
Multiple R-squared: 0.07382152, Adjusted R-squared: -0.02592077
F-statistic: 0.7401226 on 7 and 65 DF, p-value: 0.6388475
**************Regress Right_MFC_medial_frontal_cortex on Discrim02a **************
Call:
lm(formula = Right_MFC_medial_frontal_cortex ~ Age_3 * Discrim02a +
I(Age_3^2) * Discrim02a + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-764.2473 -189.2926 -15.0409 167.6284 836.5182
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -2325.0059195 2533.9422364 -0.91754 0.362249
Age_3 172.3505933 101.9227291 1.69099 0.095628
Discrim02a 3165.2915018 1333.7310925 2.37326 0.020598
I(Age_3^2) -1.8683605 0.9946916 -1.87833 0.064822
Sex 50.9723420 87.4822903 0.58266 0.562139
PovStat -55.6491614 86.9201261 -0.64023 0.524271
Age_3:Discrim02a -129.3352300 54.1355459 -2.38910 0.019801
Discrim02a:I(Age_3^2) 1.3225348 0.5328219 2.48213 0.015653
Residual standard error: 341.5932 on 65 degrees of freedom
Multiple R-squared: 0.2589072, Adjusted R-squared: 0.1790972
F-statistic: 3.244045 on 7 and 65 DF, p-value: 0.005157556
**************Regress Right_MFC_medial_frontal_cortex on Discrim02b **************
Call:
lm(formula = Right_MFC_medial_frontal_cortex ~ Age_3 * Discrim02b +
I(Age_3^2) * Discrim02b + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-710.67401 -214.88935 7.07326 195.28325 815.64676
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -4839.3963141 2460.0646767 -1.96718 0.05343299
Age_3 275.0290732 99.2763562 2.77034 0.00729284
Discrim02b 4302.9658773 1227.1224693 3.50655 0.00082843
I(Age_3^2) -2.8536389 0.9736324 -2.93092 0.00465969
Sex 85.1683039 87.3281268 0.97527 0.33304317
PovStat -60.7211640 87.0667380 -0.69741 0.48803370
Age_3:Discrim02b -175.6896337 49.7521503 -3.53130 0.00076609
Discrim02b:I(Age_3^2) 1.7613402 0.4907091 3.58938 0.00063682
Residual standard error: 342.6064 on 65 degrees of freedom
Multiple R-squared: 0.2545045, Adjusted R-squared: 0.1742204
F-statistic: 3.170047 on 7 and 65 DF, p-value: 0.006020475
**************Regress Left_OrIFG_orbital_part_of_the_i on WillDiscComp **************
Call:
lm(formula = Left_OrIFG_orbital_part_of_the_i ~ Age_3 * WillDiscComp +
I(Age_3^2) * WillDiscComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-846.15975 -279.48265 -12.39925 158.76168 936.97930
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2400.72755640 2067.67765723 1.16107 0.24986
Age_3 -52.53388451 84.26233487 -0.62346 0.53517
WillDiscComp -80.01747292 141.18948442 -0.56674 0.57284
I(Age_3^2) 0.49693115 0.83697033 0.59373 0.55476
Sex 84.82528716 92.30834387 0.91893 0.36153
PovStat -33.70922738 90.01391302 -0.37449 0.70926
Age_3:WillDiscComp 3.03002816 5.93584111 0.51046 0.61146
WillDiscComp:I(Age_3^2) -0.02482070 0.06112677 -0.40605 0.68604
Residual standard error: 355.3394 on 65 degrees of freedom
Multiple R-squared: 0.09672611, Adjusted R-squared: -0.0005495349
F-statistic: 0.9943507 on 7 and 65 DF, p-value: 0.4434144
**************Regress Left_OrIFG_orbital_part_of_the_i on RaceDiscComp **************
Call:
lm(formula = Left_OrIFG_orbital_part_of_the_i ~ Age_3 * RaceDiscComp +
I(Age_3^2) * RaceDiscComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-771.02260 -244.90277 26.01399 156.10485 1017.38839
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -2716.7553008 7635.4526789 -0.35581 0.72314
Age_3 136.5023253 299.4404051 0.45586 0.65001
RaceDiscComp 552.9155496 1127.2187431 0.49051 0.62542
I(Age_3^2) -1.1816295 2.8803950 -0.41023 0.68299
Sex 132.1773865 89.8006533 1.47190 0.14587
PovStat -18.1964240 91.6501371 -0.19854 0.84324
Age_3:RaceDiscComp -20.1343243 43.9708400 -0.45790 0.64855
RaceDiscComp:I(Age_3^2) 0.1801631 0.4214724 0.42746 0.67046
Residual standard error: 362.6068 on 65 degrees of freedom
Multiple R-squared: 0.05940123, Adjusted R-squared: -0.04189402
F-statistic: 0.5864167 on 7 and 65 DF, p-value: 0.7645568
**************Regress Left_OrIFG_orbital_part_of_the_i on DiscrimCauseComp **************
Call:
lm(formula = Left_OrIFG_orbital_part_of_the_i ~ Age_3 * DiscrimCauseComp +
I(Age_3^2) * DiscrimCauseComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-741.4614 -274.9876 49.9271 166.1691 945.3934
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 5156.0340144 2105.6431692 2.44867 0.017045
Age_3 -170.0837139 86.3865237 -1.96887 0.053235
DiscrimCauseComp -1163.0563076 513.5755287 -2.26463 0.026877
I(Age_3^2) 1.7051454 0.8549130 1.99453 0.050292
Sex 109.3834357 88.9468549 1.22976 0.223219
PovStat -51.4419468 89.1286854 -0.57716 0.565822
Age_3:DiscrimCauseComp 47.7813667 20.8705260 2.28942 0.025311
DiscrimCauseComp:I(Age_3^2) -0.4676948 0.2060109 -2.27024 0.026515
Residual standard error: 347.9534 on 65 degrees of freedom
Multiple R-squared: 0.1338864, Adjusted R-squared: 0.04061268
F-statistic: 1.435414 on 7 and 65 DF, p-value: 0.2065812
**************Regress Left_OrIFG_orbital_part_of_the_i on DiscrimCauseSum **************
Call:
lm(formula = Left_OrIFG_orbital_part_of_the_i ~ Age_3 * DiscrimCauseSum +
I(Age_3^2) * DiscrimCauseSum + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-698.34678 -286.57783 21.16952 191.87425 955.50788
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 9160.59385592 4019.14991120 2.27924 0.025944
Age_3 -333.41329846 164.03467639 -2.03258 0.046184
DiscrimCauseSum -499.22108100 235.47446285 -2.12006 0.037823
I(Age_3^2) 3.32089986 1.62251771 2.04676 0.044730
Sex 112.10807997 88.50744212 1.26665 0.209800
PovStat -31.60843544 89.63978508 -0.35262 0.725517
Age_3:DiscrimCauseSum 20.41935611 9.56381169 2.13506 0.036530
DiscrimCauseSum:I(Age_3^2) -0.20062271 0.09436211 -2.12609 0.037299
Residual standard error: 351.2069 on 65 degrees of freedom
Multiple R-squared: 0.1176138, Adjusted R-squared: 0.02258762
F-statistic: 1.237699 on 7 and 65 DF, p-value: 0.2954593
**************Regress Left_OrIFG_orbital_part_of_the_i on Discrim02a **************
Call:
lm(formula = Left_OrIFG_orbital_part_of_the_i ~ Age_3 * Discrim02a +
I(Age_3^2) * Discrim02a + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-772.28268 -245.08834 -20.45678 173.96408 1046.09502
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -52.0817835 2673.4894513 -0.01948 0.98452
Age_3 36.8803467 107.5357351 0.34296 0.73274
Discrim02a 642.8312135 1407.1812511 0.45682 0.64932
I(Age_3^2) -0.2850213 1.0494704 -0.27159 0.78680
Sex 136.3710991 92.3000441 1.47748 0.14438
PovStat -6.3068492 91.7069209 -0.06877 0.94538
Age_3:Discrim02a -22.0125448 57.1168549 -0.38539 0.70120
Discrim02a:I(Age_3^2) 0.1931550 0.5621650 0.34359 0.73226
Residual standard error: 360.4052 on 65 degrees of freedom
Multiple R-squared: 0.07078827, Adjusted R-squared: -0.02928069
F-statistic: 0.7073949 on 7 and 65 DF, p-value: 0.6657483
**************Regress Left_OrIFG_orbital_part_of_the_i on Discrim02b **************
Call:
lm(formula = Left_OrIFG_orbital_part_of_the_i ~ Age_3 * Discrim02b +
I(Age_3^2) * Discrim02b + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-768.01195 -261.15917 -28.15114 175.03627 1047.51970
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -183.7928810 2588.8512078 -0.07099 0.94362
Age_3 43.0424763 104.4735600 0.41199 0.68170
Discrim02b 712.1014365 1291.3634006 0.55143 0.58323
I(Age_3^2) -0.3517082 1.0246029 -0.34326 0.73251
Sex 134.2634574 91.8998304 1.46098 0.14884
PovStat -4.6739768 91.6247577 -0.05101 0.95947
Age_3:Discrim02b -25.4983739 52.3567187 -0.48701 0.62789
Discrim02b:I(Age_3^2) 0.2318632 0.5163981 0.44900 0.65492
Residual standard error: 360.5422 on 65 degrees of freedom
Multiple R-squared: 0.07008182, Adjusted R-squared: -0.03006321
F-statistic: 0.6998033 on 7 and 65 DF, p-value: 0.6720016
**************Regress Right_OrIFG_orbital_part_of_the_ on WillDiscComp **************
Call:
lm(formula = Right_OrIFG_orbital_part_of_the_ ~ Age_3 * WillDiscComp +
I(Age_3^2) * WillDiscComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-775.1060 -134.7716 3.2975 149.6060 665.3135
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -3062.32103247 1695.74944080 -1.80588 0.075567
Age_3 174.77527521 69.10545594 2.52911 0.013871
WillDiscComp 287.41580699 115.79270512 2.48216 0.015652
I(Age_3^2) -1.77110381 0.68641839 -2.58021 0.012142
Sex -94.97601312 75.70417079 -1.25457 0.214128
PovStat -63.87213077 73.82245590 -0.86521 0.390104
Age_3:WillDiscComp -12.19514989 4.86811821 -2.50511 0.014757
WillDiscComp:I(Age_3^2) 0.12578205 0.05013145 2.50904 0.014608
Residual standard error: 291.422 on 65 degrees of freedom
Multiple R-squared: 0.1276643, Adjusted R-squared: 0.03372046
F-statistic: 1.358943 on 7 and 65 DF, p-value: 0.2378235
**************Regress Right_OrIFG_orbital_part_of_the_ on RaceDiscComp **************
Call:
lm(formula = Right_OrIFG_orbital_part_of_the_ ~ Age_3 * RaceDiscComp +
I(Age_3^2) * RaceDiscComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-791.8414 -155.2406 -4.6263 166.5474 609.8155
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -13154.1077211 6018.5531582 -2.18559 0.0324543
Age_3 600.1959847 236.0302751 2.54288 0.0133843
RaceDiscComp 1949.4089570 888.5165309 2.19400 0.0318160
I(Age_3^2) -6.0641824 2.2704365 -2.67093 0.0095473
Sex -70.8985314 70.7842780 -1.00161 0.3202442
PovStat -101.6114941 72.2421112 -1.40654 0.1643267
Age_3:RaceDiscComp -81.7271273 34.6594824 -2.35800 0.0213928
RaceDiscComp:I(Age_3^2) 0.8246788 0.3322206 2.48232 0.0156451
Residual standard error: 285.8204 on 65 degrees of freedom
Multiple R-squared: 0.1608772, Adjusted R-squared: 0.07051013
F-statistic: 1.780264 on 7 and 65 DF, p-value: 0.1063555
**************Regress Right_OrIFG_orbital_part_of_the_ on DiscrimCauseComp **************
Call:
lm(formula = Right_OrIFG_orbital_part_of_the_ ~ Age_3 * DiscrimCauseComp +
I(Age_3^2) * DiscrimCauseComp + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-948.58951 -152.76540 -21.49643 177.70909 616.11670
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -367.1601828 1830.0800362 -0.20063 0.84162
Age_3 64.8980123 75.0812173 0.86437 0.39056
DiscrimCauseComp 221.2575265 446.3644818 0.49569 0.62179
I(Age_3^2) -0.6909653 0.7430315 -0.92993 0.35585
Sex -104.9058516 77.3064809 -1.35701 0.17947
PovStat -82.7114553 77.4645154 -1.06773 0.28959
Age_3:DiscrimCauseComp -9.7868490 18.1392239 -0.53954 0.59136
DiscrimCauseComp:I(Age_3^2) 0.1069681 0.1790505 0.59742 0.55230
Residual standard error: 302.4171 on 65 degrees of freedom
Multiple R-squared: 0.060597, Adjusted R-squared: -0.04056948
F-statistic: 0.598983 on 7 and 65 DF, p-value: 0.7544808
**************Regress Right_OrIFG_orbital_part_of_the_ on DiscrimCauseSum **************
Call:
lm(formula = Right_OrIFG_orbital_part_of_the_ ~ Age_3 * DiscrimCauseSum +
I(Age_3^2) * DiscrimCauseSum + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-951.08049 -153.64512 -36.70335 180.23406 601.62071
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -1957.41066230 3467.62518626 -0.56448 0.57437
Age_3 133.57078847 141.52514533 0.94380 0.34877
DiscrimCauseSum 132.28358554 203.16166258 0.65112 0.51726
I(Age_3^2) -1.39135285 1.39986897 -0.99392 0.32395
Sex -84.94485794 76.36207712 -1.11240 0.27007
PovStat -80.89876520 77.33903520 -1.04603 0.29942
Age_3:DiscrimCauseSum -5.82492974 8.25142506 -0.70593 0.48275
DiscrimCauseSum:I(Age_3^2) 0.06144662 0.08141334 0.75475 0.45313
Residual standard error: 303.0128 on 65 degrees of freedom
Multiple R-squared: 0.05689277, Adjusted R-squared: -0.04467262
F-statistic: 0.560159 on 7 and 65 DF, p-value: 0.7853476
**************Regress Right_OrIFG_orbital_part_of_the_ on Discrim02a **************
Call:
lm(formula = Right_OrIFG_orbital_part_of_the_ ~ Age_3 * Discrim02a +
I(Age_3^2) * Discrim02a + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-981.92175 -128.48994 -18.37768 199.12767 622.55394
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -3163.2258508 2204.5879741 -1.43484 0.156128
Age_3 175.6819316 88.6751165 1.98119 0.051804
Discrim02a 2064.9470281 1160.3766988 1.77955 0.079825
I(Age_3^2) -1.7473450 0.8654045 -2.01911 0.047604
Sex -69.0194891 76.1116028 -0.90682 0.367852
PovStat -58.0644459 75.6225071 -0.76782 0.445375
Age_3:Discrim02a -85.1946825 47.0991690 -1.80884 0.075102
Discrim02a:I(Age_3^2) 0.8502541 0.4635673 1.83415 0.071209
Residual standard error: 297.194 on 65 degrees of freedom
Multiple R-squared: 0.09276646, Adjusted R-squared: -0.00493561
F-statistic: 0.9494831 on 7 and 65 DF, p-value: 0.4753308
**************Regress Right_OrIFG_orbital_part_of_the_ on Discrim02b **************
Call:
lm(formula = Right_OrIFG_orbital_part_of_the_ ~ Age_3 * Discrim02b +
I(Age_3^2) * Discrim02b + Sex + PovStat, data = datBrain)
Residuals:
Min 1Q Median 3Q Max
-971.99248 -140.31743 -21.54705 154.61801 615.45118
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -2954.1941077 2105.1087397 -1.40335 0.165273
Age_3 168.5948026 84.9520450 1.98459 0.051415
Discrim02b 1953.2601311 1050.0643578 1.86013 0.067392
I(Age_3^2) -1.7149116 0.8331497 -2.05835 0.043570
Sex -87.3901145 74.7277926 -1.16945 0.246495
PovStat -60.3997698 74.5041189 -0.81069 0.420502
Age_3:Discrim02b -80.8001286 42.5735499 -1.89790 0.062152
Discrim02b:I(Age_3^2) 0.8215307 0.4199060 1.95646 0.054709
Residual standard error: 293.1727 on 65 degrees of freedom
Multiple R-squared: 0.1171516, Adjusted R-squared: 0.02207566
F-statistic: 1.23219 on 7 and 65 DF, p-value: 0.2983262
2016-12-22: /prj/hnd/git/dataMgr/Projects/Beatty/2016-12-21-Brain2/2016-12-22/2016-12-22-Brain2.Rmd