In: Statistics and Probability
Write down the two systematic components corresponding to females and males.
## ## Call: ## lm(formula = Percent.Fat ~ Age * Gender, data = humanfat) ## ## Residuals: ## Min 1Q Median 3Q Max ## -6.6756 -2.8862 -0.2464 1.9100 9.1641 ## ## Coefficients: ## Estimate Std. Error t value Pr(>|t|) ## (Intercept) 20.1116 6.2395 3.223 0.00613 ** ## Age 0.2401 0.1204 1.994 0.06600 . ## GenderM -29.2692 10.4098 -2.812 0.01386 * ## Age:GenderM 0.5725 0.2893 1.978 0.06790 . ## --- ## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 ## ## Residual standard error: 4.488 on 14 degrees of freedom ## Multiple R-squared: 0.8016, Adjusted R-squared: 0.7591 ## F-statistic: 18.86 on 3 and 14 DF, p-value: 3.455e-05
Systematic Component - specifies the explanatory variables (X1, X2, ... Xk) in the model, more specifically their linear combination in creating the so called linear predictor; e.g., β0 + β1x1 + β2x2 as we have seen in a linear regression.
The Systematic component correesponding to female and male is
Female | 20.1116+0.2401*Age |
Male | -9.1576+0.8126*Age |
The detailed solution is given in the attached fie.Hope this helps.