A local University conducted a survey of over 2,000 MBA alumni to explore the issue of...

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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. ... Determine the estimate of the standard deviation. s=17.43 (Round to two decimal places as needed.) What is the test statistic for the hypotheses? t= (Round to two decimal places as needed.) Hours WLB_Score 50 73.71 45 70.19 50 51.09 60 42.64 55 71.12 60 53.06 50 55.66 60 20.37 50 59.25 55 71.12 70 26.86 45 70.19 40 35.93 40 34.49 50 44.15 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. ... Determine the estimate of the standard deviation. s=17.43 (Round to two decimal places as needed.) What is the test statistic for the hypotheses? t= (Round to two decimal places as needed.) Hours WLB_Score 50 73.71 45 70.19 50 51.09 60 42.64 55 71.12 60 53.06 50 55.66 60 20.37 50 59.25 55 71.12 70 26.86 45 70.19 40 35.93 40 34.49 50 44.15