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Ann [662]
1 year ago
9

A random sample of ten professional athletes produced the following data where x is the number of endorsements the player has an

d y is the amount of money made (in millions of dollars).
x y x y
0 2 5 11
3 8 4 9
2 6 3 8
1 3 0 3
6 14 5 10
Use regression to find the equation for the line of best fit. (Round your answers to three decimal places.)

ŷ = _________ + ________x
Mathematics
1 answer:
lukranit [14]1 year ago
3 0

ŷ= 1.795x +2.195 is the equation for the line of best fit for the data

<h3>How to use regression to find the equation for the line of best fit?</h3>

Consider the table in the image attached:

∑x = 29,  ∑y = 74, ∑x²= 125, ∑xy = 288,  n = 10 (number data points)

The linear regression equation is of the form:

ŷ = ax + b

where a and b are the slope and y-intercept respectively

a = ( n∑xy -(∑x)(∑y) ) / ( n∑x² - (∑x)² )

a  = (10×288 - 29×74) / ( 10×125-29² )

  = 2880-2146 / 1250-841

  = 734/409

  = 1.795

x' =  ∑x/n

x' = 29/10 = 2.9

y' = ∑y/n

y' = 74/10 = 7.4

b = y' - ax'

b = 7.4 - 1.795×2.9

  = 7.4 - 5.2055

  = 2.195

ŷ = ax + b

ŷ= 1.795x +2.195

Therefore,  the equation for the line of best fit for the data is ŷ= 1.795x +2.195

Learn more about regression equation on:

brainly.com/question/29394257

#SPJ1

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