Answer please

 

Consider a simple OLS model that regresses college GPA (gpa) on high school GPA (hsgpa) and parental income (pincome, in $1000 per month). gpa B1 + Bhsgpa + B3pincome + e. = Empirical estimation using observations generates the following STATA output. Number of obs F(2, 3997) Prob > F R-squared Source Model Residual Total gpa SS 1273.27041 671.879965 REA Coef. df Std. Err. hsgpa .6866603 .0103571 pincome .3033177 .0066108 _cons -.6697239 0358777 Which statement below is incorrect? MS Adj R-squared Root MSE t P>|t| = ||||||| = 4,000 [95% Conf. Interval] High school GPA is a significant contributing factor to college GPA. Besides high school GPA and parental income, there exist other factors that affect college GPA. O Every $1000 increase in parental income is expected to raise a student's college GPA by 0.303. O A college student whose parents do not have an income is expected to earn a negative GPA.