Question 20: 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=a+bx b=-0.656 a=27.975 r2=0.426409 r=-0.653 Use this to predict the number of situps a person who watches 6 hours of TV can do. Round to one decimal place. A regression was run 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=a+bxb=-0.656a=27.975r²=0.426409r=-0.653Use this to predict the number of situps a person who watches 6 hours of TV can do.Round to one decimal place.

Question 20: 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=a+bx b=-0.656 a=27.975 r2=0.426409 r=-0.653 Use this to predict the number of situps a person who watches 6 hours of TV can do.

Question 20: 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=a+bx b=-0.656 a=27.975 r2=0.426409 r=-0.653 Use this to predict the number of situps a person who watches 6 hours of TV can do.

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter4: Linear Functions

Section: Chapter Questions

Problem 41RE: For the following exercises, consider the data in Table 5, which shows the percent of unemployed in...

See similar textbooks

Similar questions

For the following exercises, draw a scatter plot for the data provided. Does the data appear to be linearly related?
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.
For the following exercises, consider the data in Table 5, which shows the percent of unemployed ina city of people 25 years or older who are college graduates is given below, by year. 40. Based on the set of data given in Table 6, calculate the regression line using a calculator or other technology tool, and determine the correlation coefficient to three decimal places.
Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4
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, use Table 4 which shows the percent of unemployed persons 25 years or older who are college graduates in a particular city, by year. Determine whether the trend appears linear. If so, and assuming the trend continues, find a linear regression model to predict the percent of unemployed in a given year to three decimal places.