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.

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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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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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