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2. With the growth of internet service providers, a researcher decides to examine whether there is a correlation between cost of internet service per month (rounded to the nearest dollar) 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. dollars satisfaction 11 6 18 8 17 10 15 4 9 5 6 12 3 19 22 2 25 10 a. Compute the correlation coefficient. b. Determine the equation of regression if the level of satisfaction is being predicted. c. What satisfaction level would the customers achieved if they are paying $20? $8? $16? d. Determine the equation of regression if the cost is being predicted. e. How much would it cost to have a satisfaction level of 7? f. Explain the predicting capability of the equation.

2. With the growth of internet service providers, a researcher decides to examine whether there is a correlation between cost of internet service per month (rounded to the nearest dollar) 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. dollars satisfaction 11 6 18 8 17 10 15 4 9 5 6 12 3 19 22 2 25 10 a. Compute the correlation coefficient. b. Determine the equation of regression if the level of satisfaction is being predicted. c. What satisfaction level would the customers achieved if they are paying $20? $8? $16? d. Determine the equation of regression if the cost is being predicted. e. How much would it cost to have a satisfaction level of 7? f. Explain the predicting capability of the equation.

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter5: A Survey Of Other Common Functions
Section5.3: Modeling Data With Power Functions
Problem 6E: Urban Travel Times Population of cities and driving times are related, as shown in the accompanying...
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2. With the growth of internet service providers, a researcher decides to examine whether there is a correlation between cost of internet service per month (rounded to the nearest dollar) 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. dollars satisfaction 11 6 18 8 17 10 15 4 9 9. 5 12 3 19 22 2 25 10 a. Compute the correlation coefficient. b. Determine the equation of regression if the level of satisfaction is being predicted. c. What satisfaction level would the customers achieved if they are paying $20? $8? $16? d. Determine the equation of regression if the cost is being predicted. e. How much would it cost to have a satisfaction level of 7? f. Explain the predicting capability of the equation.
Transcribed Image Text:2. With the growth of internet service providers, a researcher decides to examine whether there is a correlation between cost of internet service per month (rounded to the nearest dollar) 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. dollars satisfaction 11 6 18 8 17 10 15 4 9 9. 5 12 3 19 22 2 25 10 a. Compute the correlation coefficient. b. Determine the equation of regression if the level of satisfaction is being predicted. c. What satisfaction level would the customers achieved if they are paying $20? $8? $16? d. Determine the equation of regression if the cost is being predicted. e. How much would it cost to have a satisfaction level of 7? f. Explain the predicting capability of the equation.
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