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The following data was collected on the height (inches) and weight (pounds) of w

ID: 3316368 • Letter: T

Question

The following data was collected on the height (inches) and weight (pounds) of women swimmers.

Provide a regression analysis from the height and weight data.

Summary Output

Regression Statistics

Multiple R = 0.9603

R Square = 0.9223

Adjust R Square = 0.8963

Standard Error = 4.1231

Observations = 5

ANOVA

What is the "y" intercept value of b0 coeefficient of correlation?

What is the slope value b1?

If the height of a swimmer is 63 inches, the expected weight in pounds will be?

Explain in one word why you can make the relationship of the 63 inches to weight as a prediction?

If the height of a swimmer is 70 inches, the expected weight in pounds will be?

Explain in one word why you can make the relationship of the 70 inches to weight as a prediction?

Height Weight 68 132 64 108 62 102 65 115 66 128

Explanation / Answer

Line of Regression Y on X i.e Y = bo + b1 X

calculation procedure for regression

mean of X = X / n = 65

mean of Y = Y / n = 117

(Xi - Mean)^2 = 20

(Yi - Mean)^2 = 656

(Xi-Mean)*(Yi-Mean) = 110

b1 = (Xi-Mean)*(Yi-Mean) / (Xi - Mean)^2

= 110 / 20

= 5.5

bo = Y / n - b1 * X / n

bo = 117 - 5.5*65 = -240.5

value of regression equation is, Y = bo + b1 X

Y'=-240.5+5.5* X

calculation procedure for regression

mean of X = X / n = 65

mean of Y = Y / n = 117

(Xi - Mean)^2 = 20

(Yi - Mean)^2 = 656

(Xi-Mean)*(Yi-Mean) = 110

b1 = (Xi-Mean)*(Yi-Mean) / (Xi - Mean)^2

= 110 / 20

= 5.5

bo = Y / n - b1 * X / n

bo = 117 - 5.5*65 = -240.5

value of regression equation is, Y = bo + b1 X

Y'=-240.5+5.5* X

a. bo -240.50

b. b1=slope = 5.5

c. when height = 63, Y'= -240.5+5.5* 63 = 106

d. when height of swimmer is 70 inches, Y' = Y'= -240.5+5.5* 70 = 144.5

X Y (Xi - Mean)^2 (Yi - Mean)^2 (Xi-Mean)*(Yi-Mean) 68 132 9 225 45 64 108 1 81 9 62 102 9 225 45 65 115 0 4 0 66 128 1 121 11
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