A local University conducted a survey of over 2,000 MBA alumni to explore the issue of work-life balance. Each participa

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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 Participa 1 (50.88 KiB) Viewed 22 times

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.

Hours 50 45 50 55 50 60 55 60 55 50 70 45 40 40 55 அக88888 WLB Score 74.29 76.13 49.56 40.88 68.03 53.17 55.68 23.18 59.52 68.03 27.07 76.13 34.96 33.25 42.05

+ X. The least squares regression equation is y (Round to two decimal places as needed.)

Check the usefulness of the hypothesized model. What are the hypotheses to test? Revenue and O A. Ho: B170 against Ha: B4 = 0 B. Ho: B1 = 0 against Ha: B170 O c. Ho: Bo #0 against Ha: Bo = 0 OD. Ho: Bo = 0 against Ha: Bo70

Determine the estimate of the standard deviation. S (Round to two decimal places as needed.) What is the test statistic for the hypotheses? t= (Round to two decimal places as needed.) What is the p-value for the test statistic? p-value = (Round to three decimal places as needed.) What is the value for the coefficient of determination 2? R2 = (Round to two decimal places as needed.)

State the conclusion at a = 0.05. evidence to reject H. Conclude there is linear relationship between Since the p-value is V than the significance level a, there is hours worked per week and work-life balance score. Create a 95% confidence interval for the slope B.. Select the correct choice below and fill in the answer box(es) if necessary. (Round to two decimal places as needed.) A. B1s B. SB, s OC. B12 OD. Constructing a confidence interval for the slope B, is not appropriate because there is insufficient evidence to indicate that the model is useful.