A random sample of ten professional athletes produced the following data where x is the number of endorsements the player has and 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
To calculate the regression equation for the given sample details the following table calculation is made as:
Based on the table calculation following is calculated as:
So, based on the above calculations, the regression coefficients (the slope m, and the y-intercept n) is calculated as:
So, the regression equation is computed as:
Y=2.196+1.795X
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