=a+bx == 2.26213874 -=0.32657492 = = 0.415646974 -0.64470689 3 B equation of the least-squares regression line. Use the full accuracy shown in the calculator outp line equation: = X S

Q: Use this to predict the number of situps a person who watches 10.5 hours of TV can do (to one…

A:

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: Given data, Regression equation is y=a+bx a=20.874 b=-0.638 Therefore regression equation is…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: Givena=-0.816b=24.08r2=0.494209r=-0.703y=ax+b

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Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: Given, y=ax+bWhere,a=-0.626b=24.928r2=0.378225r=-0.615 Let x be the hours of TV watched per day and…

Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

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A: (a) The regression analysis is conducted using EXCEL. The software procedure is given below: Enter…

Q: Use this to predict the number of sit ups a person who watches 1.5 hours of TV can do,

A: The regression line is given by y = -0.786x + 37.449 Where x denote hours of TV watched per day, y…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: Regression Analysis  y = ax+b given , a = -1.235 b =37.403 Put x = 9 in regression equation  y =…

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A: The objective of the question is to understand the meaning and implications of the coefficient of…

Q: there is a relationship between hours of TV watched per day (x) and number of situps a person can do…

A: The results of the regression were:ŷ=ax+b a=-0.778 b=23.145 r2=0.707281 r=-0.841

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: The results of the regression were: y=ax+b a=-0.788 b=22.872 r2=0.388129 r=-0.623

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: Solution: It is given here:

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A:

Q: A student has access to rainfall and sunshine data for a particular location over a period of 60…

A: a) From the given output, the value of R-square is 22.1%. That is,  r2=22.1%   =0.221r=0.221…

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Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: Defined : The regression line: y =-0.904x+39.953

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Q: A regression was run to determine if there is a relationship between hours of TV watched per day…

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Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: Given The results of the regression were: y = ax + b a = -1.098 b = 37.154 r^2= 0.444889 r=-0.667

Q: regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: Solution

Q: A regression was run to determine if there is a relationship between hours of TV watched per day…

A: Let the independent variable X be the no.of hours of TV watched per day Let the dependent variable Y…

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A: Linear regression is a linear approach to model the relationship between a dependent variable and…

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A: In this question, concept of regression equation is applied. Regression A linear relationship…

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A: The independent variable is the number of hours studied and the dependent variable is the score…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

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Q: A study investigated how the content of vitamin A in carrots is affected by the time being cooked.…

A: Consider, the regression equation as y=a+bx Here, y represents the dependent variable x represents…