Total points in a board game based on the average number of hours played is predicted using the least-square regression line, ŷ = 280.3 + 85.7x, where ŷ represents the total points scored and x represents the average number of hours spent playing the game. a player plays the game for an average of 3 hours and has a point total of 550. what is the residual for the player?

12.6 is the residual for the player

Step-by-step explanation:

Residual is the difference between the observed value of the dependent variable (y) and the predicted value (ŷ)

Residual = Observed value - Predicted value

e = y - ŷ

Here y = 550 and ŷ  can be calculated using x = 3 hours in the equation ŷ = 280.3 + 85.7x

Thus,  ŷ  = 280.3 + 85.7 x 3

ŷ  = 537.4

Thus e = y - ŷ

= 550 -537.4

= 12.6

0.0076, if you meant 4.125 divided by 0.03125 it would be 132

step-by-step explanation:

first you have to move the decimal in 0.03125 over until its behind the 5 which is 5 places over. now the number is 3125

then you have to move the decimal in 4.125, 5 places over. now the number is 4,112,500.

now you divide like you would normally would and get 0.0076