Question 1: Review the regression output below Df SS MF F Significance F Regression 2 3.84879E+11 1.92E+11
Question:
Question 1:
Review the regression output below
Df | SS | MF | F | Significance F | |
---|---|---|---|---|---|
Regression | 2 | 3.84879E+11 | 1.92E+11 | 139.7705 | 2.70104E-29 |
Residual | 97 | 1.33552E+11 | 1.38E+09 | ||
Total | 99 | 5.18431E+11 |
Coefficients | Standard Error | T Stat | P-value | Lower 95% | Upper 95% | |
---|---|---|---|---|---|---|
Intercept | -7798.603858 | 11560.61659 | -0.67458 | 0.501545 | -30743.22765 | 15146.02 |
X1 | 73.61596636 | 8.308946881 | 8.859843 | 3.87E-14 | 57.12500683 | 90.10693 |
X2 | 21068.19344 | 8153.874519 | 2.583826 | 0.011262 | 4885.009629 | 37251.38 |
In the above Exhibit, if X1 variable represented Living Area (in Sq Ft) and X2 represented number of Bathrooms, make a prediction for House Price in $ for a house with living area of 2350 sq.ft and 2 Bathrooms.
Predicted House Price = $________ (Round to the nearest integer ignoring the decimal values.)
Question 2:
Assuming X1 represents Living Area (in Sq.Ft) in the Exhibit above, construct a 95% confidence interval estimate of the population slope between House Price and the Living area of the house. Interpret the meaning of the 95% confidence interval with the Living Area predictor.