## Learn more about sjPlot with 'browseVignettes("sjPlot")'.
data1$cntry <- droplevels(data1$cntry)
countrylist <- unique(data1$cntry)
countrylist
## [1] Belgium Bulgaria Switzerland
## [4] Cyprus Czech Republic Germany
## [7] Denmark Estonia Spain
## [10] Finland France United Kingdom
## [13] Greece Croatia Hungary
## [16] Ireland Israel Lithuania
## [19] Netherlands Norway Poland
## [22] Portugal Russian Federation Sweden
## [25] Slovenia Slovakia Ukraine
## 27 Levels: Belgium Bulgaria Switzerland Cyprus Czech Republic ... Ukraine
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -11.666 -2.129 -0.635 1.153 37.061
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 43.62629 2.88635 15.115 < 2e-16 ***
## agean 0.27266 0.04934 5.526 7.09e-08 ***
## gndrFemale -0.24593 0.53325 -0.461 0.64499
## eduyrsn 0.19987 0.07004 2.853 0.00462 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.629 on 302 degrees of freedom
## Multiple R-squared: 0.1103, Adjusted R-squared: 0.1015
## F-statistic: 12.48 on 3 and 302 DF, p-value: 1.028e-07
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -18.2801 -2.0815 0.1733 2.0047 9.7488
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 49.84008 1.83626 27.142 < 2e-16 ***
## agean 0.15355 0.03082 4.983 9.47e-07 ***
## gndrFemale -1.93186 0.32792 -5.891 8.35e-09 ***
## eduyrsn 0.12844 0.05402 2.378 0.0179 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.178 on 386 degrees of freedom
## Multiple R-squared: 0.1473, Adjusted R-squared: 0.1407
## F-statistic: 22.23 on 3 and 386 DF, p-value: 2.678e-13
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -14.8263 -2.0437 -0.1128 1.6540 23.5018
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 44.12210 2.30961 19.104 < 2e-16 ***
## agean 0.32165 0.03947 8.149 6.49e-15 ***
## gndrFemale -0.38646 0.42641 -0.906 0.365
## eduyrsn 0.05505 0.05925 0.929 0.353
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.995 on 352 degrees of freedom
## Multiple R-squared: 0.1635, Adjusted R-squared: 0.1564
## F-statistic: 22.94 on 3 and 352 DF, p-value: 1.376e-13
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -8.5627 -1.7305 -0.0237 1.9216 13.4665
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 47.15011 2.60930 18.070 < 2e-16 ***
## agean 0.28313 0.04479 6.321 2.53e-09 ***
## gndrFemale -1.61650 0.55848 -2.894 0.00434 **
## eduyrsn 0.02648 0.05189 0.510 0.61060
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.513 on 158 degrees of freedom
## Multiple R-squared: 0.2313, Adjusted R-squared: 0.2167
## F-statistic: 15.85 on 3 and 158 DF, p-value: 4.671e-09
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -14.5340 -1.4201 -0.0333 1.9842 10.9568
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 55.00295 2.18067 25.223 < 2e-16 ***
## agean 0.10061 0.03479 2.892 0.00406 **
## gndrFemale -2.28749 0.33681 -6.792 4.4e-11 ***
## eduyrsn -0.01767 0.07044 -0.251 0.80205
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.217 on 372 degrees of freedom
## Multiple R-squared: 0.1426, Adjusted R-squared: 0.1357
## F-statistic: 20.63 on 3 and 372 DF, p-value: 2.203e-12
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -26.200 -1.768 -0.245 1.625 36.850
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 49.41990 1.69320 29.187 < 2e-16 ***
## agean 0.17420 0.02800 6.221 8.25e-10 ***
## gndrFemale -0.73741 0.32274 -2.285 0.0226 *
## eduyrsn 0.21630 0.04845 4.464 9.29e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.349 on 739 degrees of freedom
## Multiple R-squared: 0.07815, Adjusted R-squared: 0.07441
## F-statistic: 20.88 on 3 and 739 DF, p-value: 5.385e-13
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -14.7269 -2.5103 -0.5869 1.7089 17.0249
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 56.81711 2.06011 27.580 < 2e-16 ***
## agean 0.11255 0.03480 3.235 0.00133 **
## gndrFemale -0.32972 0.41333 -0.798 0.42554
## eduyrsn 0.06782 0.04477 1.515 0.13063
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.921 on 372 degrees of freedom
## Multiple R-squared: 0.03607, Adjusted R-squared: 0.02829
## F-statistic: 4.64 on 3 and 372 DF, p-value: 0.00337
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -47.920 -2.495 0.898 2.850 19.203
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 51.40504 2.82933 18.169 <2e-16 ***
## agean 0.08640 0.04489 1.925 0.0550 .
## gndrFemale -1.51054 0.60105 -2.513 0.0124 *
## eduyrsn 0.21939 0.09537 2.300 0.0220 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 5.653 on 371 degrees of freedom
## Multiple R-squared: 0.03437, Adjusted R-squared: 0.02656
## F-statistic: 4.402 on 3 and 371 DF, p-value: 0.004653
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -19.8755 -2.1463 -0.1528 3.0371 19.5481
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 47.48115 2.90089 16.368 < 2e-16 ***
## agean 0.23186 0.05044 4.596 6.39e-06 ***
## gndrFemale -0.72402 0.56458 -1.282 0.2007
## eduyrsn 0.11526 0.05209 2.213 0.0277 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.802 on 294 degrees of freedom
## Multiple R-squared: 0.0753, Adjusted R-squared: 0.06587
## F-statistic: 7.98 on 3 and 294 DF, p-value: 3.933e-05
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -13.791 -2.156 -0.515 1.362 56.320
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 37.55696 2.90323 12.936 < 2e-16 ***
## agean 0.39602 0.04705 8.417 6.55e-16 ***
## gndrFemale -1.08271 0.52436 -2.065 0.039570 *
## eduyrsn 0.25356 0.06513 3.893 0.000115 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 5.312 on 410 degrees of freedom
## Multiple R-squared: 0.1624, Adjusted R-squared: 0.1563
## F-statistic: 26.5 on 3 and 410 DF, p-value: 1.097e-15
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -29.475 -2.068 0.257 1.867 19.178
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 43.72436 2.31173 18.914 < 2e-16 ***
## agean 0.26893 0.04059 6.625 1.3e-10 ***
## gndrFemale -0.26483 0.40764 -0.650 0.51634
## eduyrsn 0.13586 0.05216 2.605 0.00959 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.831 on 352 degrees of freedom
## Multiple R-squared: 0.1213, Adjusted R-squared: 0.1138
## F-statistic: 16.2 on 3 and 352 DF, p-value: 6.945e-10
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -18.968 -3.608 -0.259 2.260 38.597
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 36.57153 2.71356 13.48 <2e-16 ***
## agean 0.44967 0.04314 10.42 <2e-16 ***
## gndrFemale -0.17672 0.57003 -0.31 0.757
## eduyrsn 0.05493 0.07524 0.73 0.466
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 6.355 on 496 degrees of freedom
## Multiple R-squared: 0.1815, Adjusted R-squared: 0.1766
## F-statistic: 36.67 on 3 and 496 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -56.807 -2.331 0.333 2.309 13.337
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 48.31559 3.98054 12.138 < 2e-16 ***
## agean 0.20285 0.06623 3.063 0.00243 **
## gndrFemale -1.11950 0.67968 -1.647 0.10076
## eduyrsn 0.05885 0.08339 0.706 0.48100
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 5.443 on 257 degrees of freedom
## Multiple R-squared: 0.04912, Adjusted R-squared: 0.03802
## F-statistic: 4.425 on 3 and 257 DF, p-value: 0.004705
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -18.9513 -2.0608 0.5036 2.3889 11.3018
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 45.98874 3.48655 13.190 < 2e-16 ***
## agean 0.22904 0.06211 3.687 0.000308 ***
## gndrFemale -1.69461 0.71655 -2.365 0.019202 *
## eduyrsn 0.14295 0.08481 1.685 0.093808 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.523 on 164 degrees of freedom
## Multiple R-squared: 0.1333, Adjusted R-squared: 0.1175
## F-statistic: 8.411 on 3 and 164 DF, p-value: 3.115e-05
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -19.8287 -1.7261 0.6962 1.8535 10.5491
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 51.83133 2.51349 20.621 < 2e-16 ***
## agean 0.10495 0.04591 2.286 0.0230 *
## gndrFemale -1.96896 0.43188 -4.559 7.74e-06 ***
## eduyrsn 0.12596 0.05740 2.194 0.0291 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.592 on 275 degrees of freedom
## Multiple R-squared: 0.09829, Adjusted R-squared: 0.08845
## F-statistic: 9.992 on 3 and 275 DF, p-value: 2.847e-06
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -21.4760 -3.0490 -0.4352 2.7808 25.8713
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 49.15151 3.38066 14.539 < 2e-16 ***
## agean 0.31879 0.04763 6.693 1.15e-10 ***
## gndrFemale -2.67723 0.67625 -3.959 9.50e-05 ***
## eduyrsn -0.15087 0.09492 -1.589 0.113
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 5.657 on 287 degrees of freedom
## Multiple R-squared: 0.2305, Adjusted R-squared: 0.2225
## F-statistic: 28.66 on 3 and 287 DF, p-value: 3.07e-16
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -19.3792 -3.7500 -0.4648 2.6034 28.6717
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 37.78814 4.01429 9.413 < 2e-16 ***
## agean 0.41815 0.06608 6.328 9.06e-10 ***
## gndrFemale -1.13871 0.77122 -1.476 0.141
## eduyrsn 0.08444 0.10906 0.774 0.439
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 6.62 on 299 degrees of freedom
## Multiple R-squared: 0.1302, Adjusted R-squared: 0.1215
## F-statistic: 14.92 on 3 and 299 DF, p-value: 4.462e-09
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -13.1460 -2.6930 0.3751 2.1788 12.0719
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 56.33367 2.26092 24.916 < 2e-16 ***
## agean 0.04264 0.03474 1.228 0.221
## gndrFemale -2.03622 0.48988 -4.157 4.48e-05 ***
## eduyrsn 0.08588 0.07645 1.123 0.262
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.608 on 243 degrees of freedom
## Multiple R-squared: 0.07316, Adjusted R-squared: 0.06171
## F-statistic: 6.393 on 3 and 243 DF, p-value: 0.0003471
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -15.0420 -2.1772 -0.2718 2.5519 22.6969
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 52.17638 2.40598 21.686 < 2e-16 ***
## agean 0.18018 0.03961 4.548 7.29e-06 ***
## gndrFemale -0.83889 0.44499 -1.885 0.0602 .
## eduyrsn 0.06986 0.05431 1.286 0.1991
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.277 on 378 degrees of freedom
## Multiple R-squared: 0.07088, Adjusted R-squared: 0.0635
## F-statistic: 9.612 on 3 and 378 DF, p-value: 3.952e-06
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -13.8995 -2.1904 -0.2429 1.6722 23.0337
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 50.89164 1.99809 25.470 < 2e-16 ***
## agean 0.18755 0.03325 5.640 3.19e-08 ***
## gndrFemale -0.03126 0.38078 -0.082 0.935
## eduyrsn 0.22886 0.04889 4.681 3.89e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.823 on 407 degrees of freedom
## Multiple R-squared: 0.1126, Adjusted R-squared: 0.106
## F-statistic: 17.21 on 3 and 407 DF, p-value: 1.542e-10
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -13.0407 -2.1205 -0.0577 2.0468 10.5916
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 46.22117 2.19520 21.056 < 2e-16 ***
## agean 0.24841 0.03787 6.559 2.79e-10 ***
## gndrFemale -2.62034 0.43560 -6.016 5.88e-09 ***
## eduyrsn 0.09596 0.06681 1.436 0.152
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.508 on 267 degrees of freedom
## Multiple R-squared: 0.2597, Adjusted R-squared: 0.2514
## F-statistic: 31.22 on 3 and 267 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -12.7744 -1.7040 0.0457 2.5784 11.4373
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 51.75203 2.26334 22.865 < 2e-16 ***
## agean 0.17543 0.03827 4.584 7.34e-06 ***
## gndrFemale -0.36219 0.48542 -0.746 0.4563
## eduyrsn -0.09563 0.05522 -1.732 0.0846 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.753 on 241 degrees of freedom
## Multiple R-squared: 0.1026, Adjusted R-squared: 0.09148
## F-statistic: 9.189 on 3 and 241 DF, p-value: 8.85e-06
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -22.504 -3.026 1.483 2.663 16.998
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 53.83873 3.09135 17.416 < 2e-16 ***
## agean 0.08359 0.04980 1.679 0.0941 .
## gndrFemale -3.86308 0.52590 -7.346 1.31e-12 ***
## eduyrsn -0.09783 0.09875 -0.991 0.3225
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 5.046 on 372 degrees of freedom
## Multiple R-squared: 0.1404, Adjusted R-squared: 0.1335
## F-statistic: 20.25 on 3 and 372 DF, p-value: 3.531e-12
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -14.774 -2.140 0.015 2.047 32.410
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 46.02483 2.26902 20.284 < 2e-16 ***
## agean 0.27220 0.03564 7.638 1.82e-13 ***
## gndrFemale 0.50978 0.44407 1.148 0.252
## eduyrsn 0.10008 0.06472 1.546 0.123
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.289 on 379 degrees of freedom
## Multiple R-squared: 0.1359, Adjusted R-squared: 0.1291
## F-statistic: 19.87 on 3 and 379 DF, p-value: 5.524e-12
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -8.214 -2.138 0.383 1.854 39.944
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 43.57818 3.56234 12.233 < 2e-16 ***
## agean 0.21508 0.06774 3.175 0.00173 **
## gndrFemale -2.65578 0.58485 -4.541 9.64e-06 ***
## eduyrsn 0.32387 0.07741 4.184 4.29e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.112 on 201 degrees of freedom
## Multiple R-squared: 0.2176, Adjusted R-squared: 0.206
## F-statistic: 18.64 on 3 and 201 DF, p-value: 1.044e-10
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -12.237 -2.033 0.012 1.716 39.567
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 46.25992 2.20516 20.978 < 2e-16 ***
## agean 0.20594 0.03765 5.470 8.67e-08 ***
## gndrFemale -2.44047 0.46178 -5.285 2.24e-07 ***
## eduyrsn 0.19266 0.08118 2.373 0.0182 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.295 on 344 degrees of freedom
## Multiple R-squared: 0.1618, Adjusted R-squared: 0.1545
## F-statistic: 22.13 on 3 and 344 DF, p-value: 3.982e-13
##
## Call:
## lm(formula = agertrn ~ agean + gndr + eduyrsn, data = datasub)
##
## Residuals:
## Min 1Q Median 3Q Max
## -9.4062 -0.4445 0.7586 1.2636 11.6571
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 54.0154859 2.0780704 25.993 <2e-16 ***
## agean 0.0798759 0.0345060 2.315 0.0215 *
## gndrFemale -3.9358786 0.4045747 -9.728 <2e-16 ***
## eduyrsn 0.0008278 0.0758679 0.011 0.9913
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.979 on 233 degrees of freedom
## Multiple R-squared: 0.3047, Adjusted R-squared: 0.2957
## F-statistic: 34.03 on 3 and 233 DF, p-value: < 2.2e-16