worked per week and y=work-life balance scale score for each MBA alumnus. Investigate the link between these two variables by conducting a complete simple linear regression analysis of the data. Summarize your findings. E Click the icon to view the data. The least squares regression equation is y =0-Ox (Round to two decimal places as needed.) Revenue and Message Rate for Recent Movies Check the usefulness of the hypothesized model. What are the hypotheses to test? OA H=0 against H 0 Hours WLB Score 50 75.22 OB. H B, #0 against H B, =0 OC. H B 0 against H B, 0 45 78.45 50 49.68 55 40.11 OD. H; 0 against H =0 50 70.41 55.01 60 Determine the estimate of the standard deviation. 55 57.56 24.48 62.31 70.41 60 s-Round to two decimal places as needed.) 50 50 What is the test statistic for the hypotheses? 28.58 45 78.45 33.87 t=O (Round to two decimal places as needed.) 40 32.54 What is the p-value for the test statistic? 55 42.47 p-value =(Round to three decimal places as needed.) What is the value for the coefficient of determination ? -Round to two decimal places as needed.) Print Done State the conclusion at a=0.05. Since the p-value is M than the significance level a there is V evidence to reject Ho. Conclude there is Vlinear relationship between hours worked per week and work-life balance score.

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6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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A local University conducted a survey of over 2,000 MBA alumni to explore the issue of work-life balance. Each participant received a score ranging from 0 to 100, with lower scores indicating a higher imbalance between work and life. A sample of the data is available below. Let x = average number of hours
worked per week and y=work-life balance scale score for each MBA alumnus. Investigate the link between these two variables by conducting a complete simple linear regression analysis of the data. Summarize your findings.
E Click the icon to view the data.
The least squares regression equation is y =+ (Ox.
(Round to two decimal places as needed.)
Revenue and Message Rate for Recent Movies
Check the usefulness of the hypothesized model. What are the hypotheses to test?
O A. H Bo =0 against H: Bo #0
Hours
WLB Score
50
75.22
B. H: B, #0 against H: B, =0
45
78.45
OC. H B, = 0 against H B, 0
50
49.68
55
40.11
OD. H Bo#0 against H: Bo =0
50
70.41
60
55.91
Determine the estimate of the standard deviation.
55
57.56
60
24.48
s=
|(Round to two decimal places as needed.)
62.31
50
50
70.41
What is the test statistic for the hypotheses?
70
26.58
45
78.45
t= (Round to two decimal places as needed.)
40
33.87
40
32.54
What is the p-value for the test statistic?
55
42.47
p-value = (Round to three decimal places as needed.)
What is the value for the coefficient of determination r?
2 = (Round to two decimal places as needed.)
Print
Done
State the conclusion at a = 0.05.
Since the p-value is
V than the significance level a, there is
V evidence to reject Hg. Conclude there is
V linear relationship between hours worked per week and work-life balance score.
Transcribed Image Text:A local University conducted a survey of over 2,000 MBA alumni to explore the issue of work-life balance. Each participant received a score ranging from 0 to 100, with lower scores indicating a higher imbalance between work and life. A sample of the data is available below. Let x = average number of hours worked per week and y=work-life balance scale score for each MBA alumnus. Investigate the link between these two variables by conducting a complete simple linear regression analysis of the data. Summarize your findings. E Click the icon to view the data. The least squares regression equation is y =+ (Ox. (Round to two decimal places as needed.) Revenue and Message Rate for Recent Movies Check the usefulness of the hypothesized model. What are the hypotheses to test? O A. H Bo =0 against H: Bo #0 Hours WLB Score 50 75.22 B. H: B, #0 against H: B, =0 45 78.45 OC. H B, = 0 against H B, 0 50 49.68 55 40.11 OD. H Bo#0 against H: Bo =0 50 70.41 60 55.91 Determine the estimate of the standard deviation. 55 57.56 60 24.48 s= |(Round to two decimal places as needed.) 62.31 50 50 70.41 What is the test statistic for the hypotheses? 70 26.58 45 78.45 t= (Round to two decimal places as needed.) 40 33.87 40 32.54 What is the p-value for the test statistic? 55 42.47 p-value = (Round to three decimal places as needed.) What is the value for the coefficient of determination r? 2 = (Round to two decimal places as needed.) Print Done State the conclusion at a = 0.05. Since the p-value is V than the significance level a, there is V evidence to reject Hg. Conclude there is V linear relationship between hours worked per week and work-life balance score.
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