he estimated regression equation for a model involving two independent variables and 10 observations follows. ŷ = 28.1570 + 0.5507x₁ + 0.4990x2 (a) Interpret b₁ in this estimated regression equation. = 0.5507 is an estimate of the change in y corresponding to a 1 unit change in x2 when is held constant. X1 b₁ = 0.4990 is an estimate of the change in y corresponding to a 1 unit change in x₂ when x₁ is held constant. b₁ = 0.4990 is an estimate of the change in y corresponding to a 1 unit change in x₁ when X₂ is held constant. b₁ = 0.5507 is an estimate of the change in y corresponding to a 1 unit change in x₁ when Xx₂ is held constant. b₁ = 28.1570 is an estimate of the change in y corresponding to a 1 unit change in x₁ when x₂ is held constant. Interpret b₂ in this estimated regression equation. O b₂ Ob ₂ = 0.4990 is an estimate of the change in y corresponding to a 1 unit change in x2 when X1 is held constant. = 0.5507 is an estimate of the change in y corresponding to a 1 unit change in x₁ when X₂ is held constant. is held constant. X1 when x2 D₂ = 0.4990 is an estimate of the change in y corresponding to a 1 unit change in b₂ = 0.5507 is an estimate of the change in y corresponding to a 1 unit change in x₂ when x₁ is held constant. O b₂ = 28.1570 is an estimate of the change in y corresponding to a 1 unit change in x₁ when x₂ is held constant. (b) Predict y when x₁ = 190 and x₂ = 310.

A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (xx) and number of sit ups a person can do (yy). The results of the regression were: y=ax+b a=-1.223 b=22.907 r2=0.600625 r=-0.775 Use this to predict the number of sit ups a person who watches 5 hours 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=ax+b a=-1.145 b=20.742 r?=0.508369 r=-0.713 Use this to predict the number of situps a person who watches 2.5 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: y=ax+b a=-1.226 b=33.622 r²-0.4489 r=-0.67 Use this to predict the number of situps a person who watches 3 hours of TV can do (to one decimal place)

A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (xx) and number of sit ups a person can do (yy). The results of the regression were: y=ax+b a=-1.152 b=30.418 r2=0.703921 r=-0.839      1. Use this to predict the number of sit ups a person who watches 2.5 hours 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: ý = bo + bịx bo = 36.465 - 1.082 b1 - 0.646 Use this to predict the number of situps a person who watches 2.5 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:y=ax+b a=-0.649 b=20.136 r2=0.488601 r=-0.699 Use this to predict the number of situps a person who watches 2.5 hours of TV can do (to one decimal place)

Draw the regression line for the following equation: Y = -3 + (1) X Show your calculation for a low and high value on the predictor value.

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=-0.96 b=35.944 r2=0.736164 r=-0.858 Use this to predict the number of situps a person who watches 10.5 hours of TV can do (to one decimal place)

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