The estimated regression equation for a model involving two independent variables and 10 observations follows.ŷ = 26.2527 + 0.7678x1 + 0.7662x2a. Interpret bị and b2 in this estimated regression equation (to 4 decimals).bị =- Select your answer -b2 =%3D- Select your answer -b. Estimate y when #1 = 180 and r2310 (to 3 decimals).

Answered: The estimated regression equation for a…

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter4: Linear Functions

Section: Chapter Questions

Problem 9PT: Does Table 2 represent a linear function? If so, finda linear equation that models the data.

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Similar questions

Does Table 2 represent a linear function? If so, finda linear equation that models the data.
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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+ba=-0.743b=23.803r2=0.725904r=-0.852Use this to predict the number of sit ups a person who watches 3 hours of TV can do, and please round your answer to a whole number.
A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (x) and number of sit ups a person can do (y). The results of the regression were:y=ax+ba=-1.287b=36.444r2=0.434281r=-0.659 Use this to predict the number of sit ups a person who watches 8.5 hours of TV can do, and please round your answer to a whole number.
A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (x) and number of sit ups a person can do (y ). The results of the regression were: у-ах+b a=-1.12 b=26.688 r2=0.408321 r=-0.639 Use this to predict the number of sit ups a person who watches 1.5 hours of TV can do, and please round your answer to a whole number.
The volume (in cubic feet) of a black cherry tree can be modeled by the equation y = -51.5+0.3x, +5.3x2, where x, is the tree's height (in feet) and x, is the tree's diameter (in inches). Use the multiple regression equation to predict the y-values for the values of the independent variables. x₁ = 72. x₂ = 8.9 The predicted volume is cubic feet. (Round to one decimal place as needed.)
A regression analysis was performed to determine if there is a relationship between hours ofTV watched per day r) and number of sit ups a person can do (y). The results of the regression were: у-ах+b a=-0.827 b=35.329 r2=0.540225 r=-0.735 Use this to predict the number of sit ups a person who watches 13.5 hours of TV can do, and please round your answer to a whole number.
Use B = -15.812961, and ₁ = 0.096300 to determine the equation of the estimated regression line. (Round your numerical answers to four decimal places.) ŷ =
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+b a=-0.629 b=39.045 r2=0.806404 r=-0.898 Use this to predict the number of situps a person who watches 6.5 hour(s) of TV can do, and please round your answer to a whole number.

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