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

x > 1.3

step by step:

8.5−0.9x> 9.8−1.9x

step 1: simplify both sides of the inequality.

−0.9x+8.5> −1.9x+9.8

step 2: add 1.9x to both sides.

−0.9x+8.5+1.9x> −1.9x+9.8+1.9x

1x+8.5> 9.8

step 3: subtract 8.5 from both sides.

1x+8.5−8.5> 9.8−8.5

1x> 1.3

step 4: divide both sides by 1.

1x/1 > 1.3/1