Question

Using excel, I need a simple linear regression equation to help define the relationship between height...

Using excel, I need a simple linear regression equation to help define the relationship between height and weight using the table below. Using that equation, I need to predict the weight for a height of 5.75 inches.

Height (in feet) Weight (in pounds)
4.8 115.10
4.9 117.11
5.0 120.11
5.1 123.11
5.2 126.10
5.2 129.12
5.3 132.12
5.4 135.12
5.5 139.13
5.6 142.13
5.7 146.12
5.7 150.13
5.8 154.15
5.9 159.15
6.0 164.16
0 0
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Answer #1
Height (X) Weight (Y) X * Y X2 Y2
4.8 115.1 552.48 23.04 13248.01
4.9 117.11 573.839 24.01 13714.75
5 120.11 600.55 25 14426.41
5.1 123.11 627.861 26.01 15156.07
5.2 126.1 655.72 27.04 15901.21
5.2 129.12 671.424 27.04 16671.97
5.3 132.12 700.236 28.09 17455.69
5.4 135.12 729.648 29.16 18257.41
5.5 139.13 765.215 30.25 19357.16
5.6 142.13 795.928 31.36 20200.94
5.7 146.12 832.884 32.49 21351.05
5.7 150.13 855.741 32.49 22539.02
5.8 154.15 894.07 33.64 23762.22
5.9 159.15 938.985 34.81 25328.72
6 164.16 984.96 36 26948.51
Total 81.1 2052.86 11179.54 440.43 284319.2

Equation of regression line is Ŷ = a + bX

b = ( 15 * 11179.541 - 81.1 * 2052.86 ) / ( 15 * 440.43 - ( 81.1 )2)
b = 41.251
a =( Σ Y - ( b * Σ X) ) / n
a =( 2052.86 - ( 41.2506 * 81.1 ) ) / 15
a = -86.171
Equation of regression line becomes Ŷ = -86.1712 + 41.2506 X


When X = 5.75
Ŷ = -86.171 + 41.251 X
Ŷ = -86.171 + ( 41.251 * 5.75 )
Ŷ = 151.02

Using excel -----> Data tab -----------> Data Analysis option -------> Regression

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