À 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 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 linea analysis of the data. Summarize your findings. E Click the icon to view the data. The least squares regression equation is y =+ ( x. (Round to two decimal places as needed.) Check the usefulness of the hypothesized model. What are the hypotheses to test? Revenue and message rate for recekt movies O A. Ho: Po0 against H Po = 0 O B. Ho: B, *0 against H, B, = 0 Hours WLB Score 50 77.01 OC. Ho: Bo =0 against H: Bo #0 45 50 72.02 49.07 O D. H: B, = 0 against H: B, *0 60 50 44.14 69.95 54.39 Determine the estimate of the standard deviation. 60 55 60 57.36 22.64 s= (Round to two decimal places as needed.) 50 50 70 61.03 69.95 26.79 72.02 What is the test statistic for the hypotheses? t= (Round to two decimal places as needed.) 45 40 40 33.94 32.12 47.05 What is the p-value for the test statistic? 55 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

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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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
X.
(Round to two decimal places as needed.)
Revenue and message rate for recekt movies
Check the usefulness of the hypothesized model. What are the hypotheses to test?
O A. Ho: Po * 0 against H: Po = 0
O B. Ho: B, #0 against H: B, = 0
Hours
WLB Score
50
45
77.01
OC. Ho: Po = 0 against H: Po #0
72.02
49.07
50
O D. Ho: B, = 0 against H: B, #0
60
50
44.14
69.95
Determine the estimate of the standard deviation.
60
55
60
54.39
57.36
22.64
s= (Round to two decimal places as needed.)
50
50
61.03
69.95
26.79
What is the test statistic for the hypotheses?
70
45
40
40
72.02
t= (Round to two decimal places as needed.)
33.94
32.12
47.05
What is the p-value for the test statistic?
55
p-value = (Round to three decimal places as needed.)
What is the value for the coefficient of determination r?
= (Round to two decimal places as needed.)
Print
Done
State the conclusion at a= 0.05.
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 X. (Round to two decimal places as needed.) Revenue and message rate for recekt movies Check the usefulness of the hypothesized model. What are the hypotheses to test? O A. Ho: Po * 0 against H: Po = 0 O B. Ho: B, #0 against H: B, = 0 Hours WLB Score 50 45 77.01 OC. Ho: Po = 0 against H: Po #0 72.02 49.07 50 O D. Ho: B, = 0 against H: B, #0 60 50 44.14 69.95 Determine the estimate of the standard deviation. 60 55 60 54.39 57.36 22.64 s= (Round to two decimal places as needed.) 50 50 61.03 69.95 26.79 What is the test statistic for the hypotheses? 70 45 40 40 72.02 t= (Round to two decimal places as needed.) 33.94 32.12 47.05 What is the p-value for the test statistic? 55 p-value = (Round to three decimal places as needed.) What is the value for the coefficient of determination r? = (Round to two decimal places as needed.) Print Done State the conclusion at a= 0.05.
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