Question

In a statistics course, a linear regression equation was computed to predict the final exam score from the score on the first test. The equation of the least-squares regression line was:

Answer 1

d. 95.5

Step-by-step explanation:

Based on the information provided within the question it can be said that if in this scenario Carla scored a 95 on the first test and the variable "x" in the equation represents the first test, then we can plug in the 95 and solve for y. Therefore,

y = 10+(0.9*x)

y = 10+(0.9*95)

y = 10+85.5

y = 95.5

So we can see that the predicted final test score is that of 95.5