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An executive at a telecommunications company is interested in the relationship between an individual's income and mobile phone usage. In particular, to help her in pricing and marketing strategies, she is interested in ascertaining whether she can use an individual's gross annual income to predict how much time they spend making national calls from their mobile phone per week.

An executive at a telecommunications company is interested in the relationship between an individual's income and mobile phone usage. In particular, to help her in pricing and marketing strategies, she is interested in ascertaining whether she can use an individual's gross annual income to predict how much time they spend making national calls from their mobile phone per week.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section: Chapter Questions
Problem 4SGR
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Instruction: Compute for the regression line and interpret the results ( An executive at a telecommunications company is interested in the relationship between an individual's income and mobile phone usage. In particular, to help her in pricing and marketing strategies, she is interested in ascertaining whether she can use an individual's gross annual income to predict how much time they spend making national calls from their mobile phone per week. Annual income ('000) Weekly time on national calls (minutes) 23 69 29 29 95 102 118 126 125 35 42 46 50 54 138 178 64 156 66 184 76 176 78 225 She surveys 12 mobile phone users and records their annual incomes and time (in minutes spent making national calls each week). The data are presented in sequence, according to gross annual income.
Transcribed Image Text:Instruction: Compute for the regression line and interpret the results ( An executive at a telecommunications company is interested in the relationship between an individual's income and mobile phone usage. In particular, to help her in pricing and marketing strategies, she is interested in ascertaining whether she can use an individual's gross annual income to predict how much time they spend making national calls from their mobile phone per week. Annual income ('000) Weekly time on national calls (minutes) 23 69 29 29 95 102 118 126 125 35 42 46 50 54 138 178 64 156 66 184 76 176 78 225 She surveys 12 mobile phone users and records their annual incomes and time (in minutes spent making national calls each week). The data are presented in sequence, according to gross annual income.
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