The problem facing a manager is to assess the impact of factors on full-time job growth. Specifically, the manager is interested in the impact of total worldwide revenues and full-time voluntary turnover on the number of full-time jobs added in a year. Data were collected from a sample of 97 "best companies to work for" and a multiple linear regression model was found, using the total number of full-time jobs added in the past year, total worldwide revenue (in Smillions), and the full-time voluntary turnover (%). Use the accompanying results to complete parts (a) and (b) below. Standard Variable Coefficient Error t Statistic p-value Intercept - 183.63016 253.02336 - 0.73 0.4698 Revenue, X1 0.04742 0.00999 4.75 0.0000 Turnover, X2 52.99499 22.40816 2.36 0.0201 a. Construct a 95% confidence interval estimate of the population slope between the number of full-time jobs added and total worldwide revenue. (Round to four decimal places as needed.)