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The equation of the least squares regression line is: Average Complaints = 0.825 + 14.376 × Rating Predicted Complaints = 14.376 +0.755 × Rating Predicted Rating = 14.376 +0.755 × Complaints Predicted Rating = 0.755 +14.376 × Complaints Average Rating = 14.376 + 0.825 × Complaints

The equation of the least squares regression line is: Average Complaints = 0.825 + 14.376 × Rating Predicted Complaints = 14.376 +0.755 × Rating Predicted Rating = 14.376 +0.755 × Complaints Predicted Rating = 0.755 +14.376 × Complaints Average Rating = 14.376 + 0.825 × Complaints

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 10CYU
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A survey of employees at a large financial organisation was conducted to determine the overall sentiment towards various aspects of how the company operates. 30 randomly selected departments in the organisation participated in the study. Every employee in these 30 randomly selected departments filled in a questionnaire, and the data were aggregated to calculate the following two variables of interest: Rating ComplaintsThe percentage of favourable responses (in each Source: Chatterjee, S. and Price, B. (1977) Regression Analysis by Example. New York: Wiley. (Section 3.7, p.68ff of 2nd ed. (1991).) Rating A simple linear regression was conducted. A scatter plot of Rating versus Complaints is shown in Figure 1 and the results of the regression analysis are shown in Table 1. 80 70- 60 The percentage of favourable responses (in each department) to the overall running of the company. 50 40 department) to how the company handles employee complaints Model 1 40 Figure 1: Rating versus Complaints. 50 (Constant) Complaints a. Dependent Variable: Rating Table 1: Regression output. Unstandardized Coefficients B Std. Error 14.376 .755 Rating versus Complaints 6.620 .098 60 Complaints Coefficients Standardized Coefficients Beta .825 70 t 2.172 7.737 Sig. .039 .000 80 90 95.0% Confidence Interval for B Lower Bound Upper Bound 27.937 .954 .816 .555
Transcribed Image Text:A survey of employees at a large financial organisation was conducted to determine the overall sentiment towards various aspects of how the company operates. 30 randomly selected departments in the organisation participated in the study. Every employee in these 30 randomly selected departments filled in a questionnaire, and the data were aggregated to calculate the following two variables of interest: Rating ComplaintsThe percentage of favourable responses (in each Source: Chatterjee, S. and Price, B. (1977) Regression Analysis by Example. New York: Wiley. (Section 3.7, p.68ff of 2nd ed. (1991).) Rating A simple linear regression was conducted. A scatter plot of Rating versus Complaints is shown in Figure 1 and the results of the regression analysis are shown in Table 1. 80 70- 60 The percentage of favourable responses (in each department) to the overall running of the company. 50 40 department) to how the company handles employee complaints Model 1 40 Figure 1: Rating versus Complaints. 50 (Constant) Complaints a. Dependent Variable: Rating Table 1: Regression output. Unstandardized Coefficients B Std. Error 14.376 .755 Rating versus Complaints 6.620 .098 60 Complaints Coefficients Standardized Coefficients Beta .825 70 t 2.172 7.737 Sig. .039 .000 80 90 95.0% Confidence Interval for B Lower Bound Upper Bound 27.937 .954 .816 .555
23. The equation of the least squares regression line is: O Average Complaints = 0.825 + 14.376 × Rating Predicted Complaints = 14.376 +0.755 × Rating Predicted Rating = 14.376 +0.755 x Complaints Predicted Rating = 0.755 +14.376 x Complaints Average Rating = 14.376 + 0.825 × Complaints
Transcribed Image Text:23. The equation of the least squares regression line is: O Average Complaints = 0.825 + 14.376 × Rating Predicted Complaints = 14.376 +0.755 × Rating Predicted Rating = 14.376 +0.755 x Complaints Predicted Rating = 0.755 +14.376 x Complaints Average Rating = 14.376 + 0.825 × Complaints
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