. Which one of the following statements is true? ith 95% confidence we estimate that, on average, a 5% increase in Complaints is associated with an increase Rating of: approximately 0.8% Osomewhere between 0.6% and 1.0% approximately 3.8% somewhere between 2.8% and 4.8% Osomewhere between 0.8% and 27.9%

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Chapter10: Statistics
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25. Which one of the following statements is true?
With 95% confidence we estimate that, on average, a 5% increase in Complaints is associated with an increase
in Rating of:
O approximately 0.8%
Osomewhere between 0.6% and 1.0%
O approximately 3.8%
Osomewhere between 2.8% and 4.8%
somewhere between 0.8% and 27.9%
Transcribed Image Text:25. Which one of the following statements is true? With 95% confidence we estimate that, on average, a 5% increase in Complaints is associated with an increase in Rating of: O approximately 0.8% Osomewhere between 0.6% and 1.0% O approximately 3.8% Osomewhere between 2.8% and 4.8% somewhere between 0.8% and 27.9%
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
department) to how the company
handles employee complaints
Source: Chatterjee, S. and Price, B. (1977) Regression Analysis by Example. New York: Wiley. (Section
3.7, p.68ff of 2nd ed. (1991).)
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.
Rating
80
o
70
60
The percentage of favourable
responses (in each department)
to the overall running of the
company.
50
40
Model
1
40
Figure 1: Rating versus Complaints.
50
(Constant)
Complaints
a. Dependent Variable: Rating
Table 1: Regression output.
14.376
.755
Unstandardized Coefficients
B
Std. Error
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 department) to how the company handles employee complaints Source: Chatterjee, S. and Price, B. (1977) Regression Analysis by Example. New York: Wiley. (Section 3.7, p.68ff of 2nd ed. (1991).) 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. Rating 80 o 70 60 The percentage of favourable responses (in each department) to the overall running of the company. 50 40 Model 1 40 Figure 1: Rating versus Complaints. 50 (Constant) Complaints a. Dependent Variable: Rating Table 1: Regression output. 14.376 .755 Unstandardized Coefficients B Std. Error 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
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