A regression was fun to determine if there is a relationship between hours of TV watched per day (x) andnumber of situps a person can do (y).The results of the regression were:y-ax+ba-0.753b-31.112-0.439569-0.663Assume the correlation is significant, and use this to predict the number of situps a person who watches 12hours of TV can do (to one decimal place)10Submit QuestionDetails5JED

Concept: The equation of line of regression is given with the value of constants We have to put the…

A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y-ax+b a--0.753 b-31.112 r²-0.439569 r-0.663 Assume the correlation is significant, and use this to predict the number of situps a person who watches 12 hours of TV can do (to one decimal place)

A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y-ax+b a--0.753 b-31.112 r²-0.439569 r-0.663 Assume the correlation is significant, and use this to predict the number of situps a person who watches 12 hours of TV can do (to one decimal place)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 23PFA

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For the following exercises, use Table 4 which shows the percent of unemployed persons 25 years or older who are college graduates in a particular city, by year. Based on the set of data given in Table 5, calculate the regression line using a calculator or other technology tool, and determine the correlation coefficient. Round to three decimal places of accuracy
For the following exercises, consider the data in Table 5, which shows the percent of unemployed in a city ofpeople25 years or older who are college graduates is given below, by year. 41. Based on the set of data given in Table 7, calculatethe regression line using a calculator or othertechnology tool, and determine the correlationcoefficient to three decimal places.

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