Part (c)            (2 points) Interpret the estimated value of the coefficient on the “GPA” variable,…

Part (c)
           (2
points)
Interpret the estimated value of the coefficient on the “GPA”
variable, i.e., explain what the number means in this
regression.

The coefficient for GPA is -6.3746. It means that for every
unit it increases there is a decrease of -6.3746 units in
time.

Part
(e)           
(2 points)
Is the estimate of the coefficient on the “GPA” variable
statistically significant? Please answer “yes” or “no,”
then explain how we can tell.

The estimate is statistically significant; The P-value its
0.000000004 which is less than 0.05 therefore it is
significant.

Part
(f)            
(2 points)
Is the estimate of the coefficient on the “GPA” variable of
practical significance? Please answer “yes” or “no,” then
explain how we can tell.

SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.898764189 0.807777067 0.787891936 1.733802005 ANOVA Significance F MS 1.64527E-10 Regression Residual Total 366.3391391 122.113046 40.6221648 87.17601239 3.00606939 453.5151515 29 32 P-value Coefficients Standard Error tStat 1.983559616 12.6855096 2.3223E-13 0.773800662 -8.2381422 4.4022E-09 0.269085194 -0.2779617 0.78301395 0.609128063-4.49566030.00010276 Lower 95 Upper 95% Lower 95.0% Upper 95.0% 21.1056295929.219299421.105629629.2192994 7.957284.7920799 0.625136388 0.47554564 -0.6251364 0.47554564 3.9842396061.4926261 3.98423961.4926261 25.16246451 6.3746799 Effort in Job Search 0.07479537 2.73843284 Intercept GPA 7.957279953 -4.7920799 Internship