please explain

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. 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? O A. Ho: B, # 0 against Ha: B, =0 O B. Ho: Bo #0 against Ha: Bo = 0 O C. Ho: B, = 0 against Ha: B, # 0 O D. Ho: Bo = 0 against Ha: Bo # 0 Determine the estimate of the standard deviation. s=(Round to two decimal places as needed.) What is the test statistic for the hypotheses? 1= (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 r?? 2 =(Round to two decimal places as needed.) State the conclusion at a = 0.05. Since the p-value is than the significance level a, there is evidence to reject Ho. Conclude there is linear relationship between 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.) O A. SBS OB. BIS O C. B, 2