answer please A regression was run to determine if there is a relationship between hours of TV watched per day (x) annumber of situps a person can do (y).The results of the regression were:y=ax+ba=-1.395b=38.945r²-0.393129r=-0.627Use this to predict the number of situps a person who watches 1.5 hours of TV can do (to one decimalplace)

The data is defined below as follows: From the information, given the regression equation is,…

Answered: A regression was run to determine if…

College Algebra (MindTap Course List)

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Author:R. David Gustafson, Jeff Hughes

Publisher:R. David Gustafson, Jeff Hughes

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Problem 11SC: Find the mean hourly cost when the cell phone described above is used for 240 minutes.

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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: b=35.976 7²-0.509796 T=-0.714 Use this to predict the number of situps a person who watches 7 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=-0.865 b=30.373 r²=0.7396 r=-0.86 Use this to predict the number of situps a person who watches 8.5 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 (x) and number of situps a person can do (y).The results of the regression were:ŷ=a+bx a=38.98 b=-1.245 r2=0.802816 r=-0.896 Use this to predict the number of situps a person who watches 9 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=-0.771 b=24.862Use this to predict the number of situps a person who watches 13 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) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-0.817 b=32.111 r²=0.877969 r=-0.937 Use this to predict the number of situps a person who watches 13.5 hour(s) of TV can do, and please round your answer to a whole number.
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 = 26.699 -0.639*x R² = 0.5 r = -0.704 Predict the number of situps a person who watches 6 hours of TV can do (round your answer to three decimal places).
A regression was run to determine if there is a relationship between hours of TV watched per day (xx) and number of situps a person can do (yy). The results of the regression were: y=ax+ba=-1.392b=32.952r2=0.527076r=-0.726Use this to predict the number of situps a person who watches 2 hour(s) of TV can do, and please round your answer to a whole number.
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: Â = 21.367 -1.09*x R² = 0.56 r = -0.749 Predict the number of situps a person who watches 1 hours of TV can do (round your answer to three decimal places).

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