Question

It is believed that the average numbers of hours spent studying per day (HOURS) during undergraduate education should have a positive linear relationship with the starting salary (SALARY, measured in thousands of dollars per month) after graduation. Given below is the Excel output for predicting starting salary (Y) using number of hours spent studying per day (X) for a sample of 51students. NOTE: Only partial output is shown. Regression Statistics Multiple R 0.8857 R Square 0.7845 Adjusted R Square 0.7801 Standard Error 1.3704 Observations 51 ANOVA df SS MS F Significance F Regression 1 335.0472 335.0473 178.3859 Residual 1.8782 Total 50 427.0798 Standard Coefficients Error t Stat P-value Lower 95% Upper 95% Intercept -1.8940 0.4018 -4.7134 0.0000 -2.7015 -1.0865 Hours 0.9795 0.0733 13.3561 0.0000 0.8321 1.1269 Note: 2.051E-05 = 2.05110^-05 and 5.944E-18 = 5.94410^-18.

          It is believed that the average numbers of hours spent studying per day (HOURS) during undergraduate education should have a positive linear relationship with the starting salary (SALARY, measured in thousands of dollars per month) after graduation. Given below is the Excel output for predicting starting salary (Y) using number of hours spent studying per day (X) for a sample of 51students. NOTE: Only partial output is shown.
Regression Statistics
Multiple R 0.8857
R Square 0.7845
Adjusted R Square 0.7801
Standard Error 1.3704
Observations 51
ANOVA
df SS MS F Significance F
Regression 1 335.0472 335.0473 178.3859
Residual 1.8782
Total 50 427.0798
Standard
Coefficients Error t Stat P-value Lower 95% Upper 95%
Intercept -1.8940 0.4018 -4.7134 0.0000 -2.7015 -1.0865
Hours 0.9795 0.0733 13.3561 0.0000 0.8321 1.1269
Note: 2.051E-05 = 2.051*10^-05 and 5.944E-18 = 5.944*10^-18.

It is believed that the average numbers of hours spent studying per day (HOURS) during undergraduate education should have a positive linear relationship with the starting salary (SALARY, measured in thousands of dollars per month) after graduation. Given below is the Excel output for predicting starting salary (Y) using number of hours spent studying per day (X) for a sample of 51students. NOTE: Only partial output is shown.
Regression Statistics
Multiple R 0.8857
R Square 0.7845
Adjusted R Square 0.7801
Standard Error 1.3704
Observations 51
ANOVA
df SS MS F Significance F
Regression 1 335.0472 335.0473 178.3859
Residual 1.8782
Total 50 427.0798
Standard
Coefficients Error t Stat P-value Lower 95% Upper 95%
Intercept -1.8940 0.4018 -4.7134 0.0000 -2.7015 -1.0865
Hours 0.9795 0.0733 13.3561 0.0000 0.8321 1.1269
Note: 2.051E-05 = 2.051*10^-05 and 5.944E-18 = 5.944*10^-18.

Added by Jose Angel G.

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