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

Kizspy | Question: 55
(Choose 1 answer)
(See picture)
Α. -4.7134
Β. -1.8940
C. 0.9795
D. 13.3561
E. None of the other choices is correct
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
0.7845
0.7801
1.3704
51
R Square Adjusted R Square
Standard Error
Observations
ANOVA
Regression
Residual
Total
df
1
50
MS F Significance F 335.0472 335.04 178.3859
SS
1.8782
427.0798
Coefficients Standard Error : Stat P-value Lower 95% Upper 95%
-1.8940
0.9795
0.4018-4.7134
0.0000
0.0733 13.3561 0.0000
-2.7015
0.8321
The value of the measured t-test statistic to test whether mean SALARY depends linearly on HOURS is
-1.0865
1.1269
Intercept
Hours

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