Is there a relationship between the raises administrators at State University receive and their performance on the job? A faculty group wants to determine whether job rating (x) is a useful linear predictor of raise (y). Consequently, the group considered the straight-line regression model
E(y) = β0 + β1x.

Using the method of least squares, the faculty group obtained the following prediction equation:
= 14,000 - 2,000x

Interpret the estimated slope of the line

answer: 2530

hope this

step-by-step explanation:

let

we know that

the y-intercept is the y-coordinate of the point when the value of x is equal to zero

so

the y-coordinate of the point a is the y-intercept

the answer part a) is

the value of y-intercept is

part b) find the slope m

we know that

the value of the slope is equal to

substitute the values

therefore

the answer part b) is

the value of the slope is equal to

the general answer is

the slope is

the value of y-intercept is

something over 10 so ? /10

step-by-step explanation:

step-by-step explanation:

oh the deck is the size of my dic k so about 320 inches hope u get my dic k as the answer