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With the growth of internet service providers, a researcher decides to examine whether there is a correlation between cost of internet service per month and degree of customer satisfaction (on a scale of 1 - 10 with a 1 being not at all satisfied and a 10 being extremely satisfied). The researcher only includes programs with comparable types of services. A sample of the data is provided below. Cost (in PhP) | 3, 500 | 3, 499 | 4, 099 | 2, 899 | 3, 800 | 1, 299 Satisfaction 8 6 7 6 7 a. Determine the least-square prediction line and plot the graph. b. Test for the significance of the regression coefficient (value of b) at 2% level of significance and interpret the results. c. Construct an ANOVA Table for the linear regression.

With the growth of internet service providers, a researcher decides to examine whether there is a correlation between cost of internet service per month and degree of customer satisfaction (on a scale of 1 - 10 with a 1 being not at all satisfied and a 10 being extremely satisfied). The researcher only includes programs with comparable types of services. A sample of the data is provided below. Cost (in PhP) | 3, 500 | 3, 499 | 4, 099 | 2, 899 | 3, 800 | 1, 299 Satisfaction 8 6 7 6 7 a. Determine the least-square prediction line and plot the graph. b. Test for the significance of the regression coefficient (value of b) at 2% level of significance and interpret the results. c. Construct an ANOVA Table for the linear regression.

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
Section10.3: Measures Of Spread
Problem 1GP
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With the growth of internet service providers, a researcher decides to examine whether there is a correlation between cost of internet service per month and degree of customer satisfaction (on a scale of 1 - 10 with a 1 being not at all satisfied and a 10 being extremely satisfied). The researcher only includes programs with comparable types of services. A sample of the data is provided below. Cost (in PhP)] 3, 500 ] 3, 499 4, 099 2, 899 | 3, 800 | 1, 299 Satisfaction 8 7 7 a. Determine the least-square prediction line and plot the graph. b. Test for the significance of the regression coefficient (value of b) at 2% level of significance and interpret the results. c. Construct an ANOVA Table for the linear regression.
Transcribed Image Text:With the growth of internet service providers, a researcher decides to examine whether there is a correlation between cost of internet service per month and degree of customer satisfaction (on a scale of 1 - 10 with a 1 being not at all satisfied and a 10 being extremely satisfied). The researcher only includes programs with comparable types of services. A sample of the data is provided below. Cost (in PhP)] 3, 500 ] 3, 499 4, 099 2, 899 | 3, 800 | 1, 299 Satisfaction 8 7 7 a. Determine the least-square prediction line and plot the graph. b. Test for the significance of the regression coefficient (value of b) at 2% level of significance and interpret the results. c. Construct an ANOVA Table for the linear regression.
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