A regression was run to determine if there is a relationship between hours of TV watched per day (8) and number of situps a person can do (y). The results of the regression were: y-ax+b a-0.932 b-36.438 r2-0.806404 r=-0.898 Use this to predict the number of situps a person who watches 12.5 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 (8) and number of situps a person can do (y). The results of the regression were: y-ax+b a-0.932 b-36.438 r2-0.806404 r=-0.898 Use this to predict the number of situps a person who watches 12.5 hours of TV can do (to one decimal place)
Chapter6: Exponential And Logarithmic Functions
Section6.8: Fitting Exponential Models To Data
Problem 46SE: For the following exercises, refer to Table 11. Use a graphing calculator to create a scatter...
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![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=-0.932
b=36.438
r?-0.806404
r=-0.898
Use this to predict the number of situps a person who watches 12.5 hours of TV can do (to one
decimal place)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F79bd8cbe-0fff-4491-b108-2bca08685b95%2Fe75f16e4-6625-4fe4-b0e5-a3a66cb48d5b%2Fzh5auk_processed.jpeg&w=3840&q=75)
Transcribed Image Text: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=-0.932
b=36.438
r?-0.806404
r=-0.898
Use this to predict the number of situps a person who watches 12.5 hours of TV can do (to one
decimal place)
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