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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 91 "best companies to work for" and a multiple linear regression model was found, using the total number of full-time jobs adde 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. Variable Intercept Revenue, X₁ Turnover, X₂ Standard Coefficient Error -194.57266 246.31704 0.04883 0.00973 51.17813 22.28975 t Statistic -0.79 5.02 2.30 (Round to four decimal places as needed.) p-value 0.4317 0.0000 0.0240 www a. Construct a 95% confidence interval estimate of the population slope between the number of full-time jobs added and total worldwide revenue.

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 91 "best companies to work for" and a multiple linear regression model was found, using the total number of full-time jobs adde 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. Variable Intercept Revenue, X₁ Turnover, X₂ Standard Coefficient Error -194.57266 246.31704 0.04883 0.00973 51.17813 22.28975 t Statistic -0.79 5.02 2.30 (Round to four decimal places as needed.) p-value 0.4317 0.0000 0.0240 www a. Construct a 95% confidence interval estimate of the population slope between the number of full-time jobs added and total worldwide revenue.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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 91 "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. Variable Intercept Revenue, X₁ Turnover, X₂ Standard Coefficient Error -194.57266 246.31704 0.04883 0.00973 51.17813 22.28975 t Statistic -0.79 5.02 2.30 (Round to four decimal places as needed.) p-value 0.4317 0.0000 0.0240 (... a. Construct a 95% confidence interval estimate of the population slope between the number of full-time jobs added and total worldwide revenue.
Transcribed Image Text: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 91 "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. Variable Intercept Revenue, X₁ Turnover, X₂ Standard Coefficient Error -194.57266 246.31704 0.04883 0.00973 51.17813 22.28975 t Statistic -0.79 5.02 2.30 (Round to four decimal places as needed.) p-value 0.4317 0.0000 0.0240 (... a. Construct a 95% confidence interval estimate of the population slope between the number of full-time jobs added and total worldwide revenue.
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