Coefficients:

Estimate Std. Error t value Pr(>|t|)

(Intercept) 22.55565 17.19680 1.312 0.1968

sex -22.11833 8.21111 -2.694 0.0101 *

area 0.05223 0.28111 0.186 0.8535

income 4.96198 1.02539 4.839 1.79e-05 ***

verbal -2.95949 2.17215 -1.362 0.1803

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Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 22.69 on 42 degrees of freedom

Multiple R-squared: 0.5267, Adjusted R-squared: 0.4816

F-statistic: 11.69 on 4 and 42 DF, p-value: 1.815e-06

In the results, sex and income are the most significant to the model. Is my conclusion correct and how would i interpret sex?