MAS202_-_Test3_-_SU_2024_2210.webp
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MAS202_-_Test3_-_SU_2024_2210.webp

Kizspy | Question: 91
(Choose 1 answer)
(See picture)
Α. 1.8782
Β. 92.0326
C. 335.0472
D. 427.0798
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 51 students.
NOTE: Only partial output is shown.
Regression Statistics Multiple R 0.8857
R Square
Adjusted R Square
Standard Error Observations
ANOVA
Regression
Residual
Total
0.7845
0.7801
1.3704
51
af
SS
MS
335.0472 335.04 178.3859
1.8782
427.0798
1
50
F Significance F
Coefficients Standard Error t Stat P-value Lower 95% Upper 95%-2.7015-1.0865
-1.89400.9795
0.4018-4.7134 0.0000 0.0733 13.3561 0.0000
The error sum of squares (SSE) of the above regression is
0.8321
1.1269
Intercept
Hours

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