. Consider the HSB data set. Use SAS to perform a MLR analysis to predict science scores from reading scores, math scores, self-concept measures, and motivation scores. For all your hypothesis testing use ? = 0.05 level.

(a)Write an appropriate regression model for this scenario.

Q4 The REG Procedure Model: MODEL1 Dependent Variable: SCI Number of Observations Read 600 Number of Observations Used 600 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 4 30548 7636.93389 175.55 <.0001 error corrected total root mse r-square mean adj r-sq coeff var parameter estimates standard variable df estimate t value pr> It| Intercept 1 11.29291 1.61046 7.01 <.0001 rdg math concpt mot q4 the reg procedure model: model1 dependent variable: sci number of observations read used analysis variance sum mean source df squares square f value pr> F Model 6 30707 5117.86823 117.98 <.0001 error corrected total root mse r-square dependent mean adj r-sq var parameter estimates standard variable df estimate t value pr> It Intercept 1 11.39555 1.63008 6.99 <.0001 rdg math concpt mot x1 x2>