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34kurt
3 years ago
6

A faculty group wants to determine whether job rating (x) is a useful linear predictor of raise (y). Consequently, the group con

sidered the straight line regression model E(y)- B^o + B^1x. Using th e method of least squares, the faculty group obtained the following prediction equation. Interpret the estimated slope of the line.^y=14,000-2,000x
A) For a $1 increase in an administrators raise, we estimate the administrators rating to decrease 2,000 points
B) For an administrator with a rating of 1.0, we estimate his/her raise to be $2,000.
C) For a 1-point increase in an administrators rating, we estimate the administrators raise to increase $2,000
D) For a 1-point increase in an administrators rating, we estimate the administrators raise to decrease $2,000
Business
1 answer:
Studentka2010 [4]3 years ago
7 0

Answer:

The answer is "D".

Explanation:

Since the value of b1 is negative, the regression line decreases as b1 increases

For a 1-point increase in an administrators rating, we estimate the administrators raise to decrease $2,000.

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Answer:

Option C (Drop-shippers) is the correct choice.

Explanation:

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Some other alternatives given weren’t linked to the scenario in question. So, the alternative above is the right one.

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You have an insurance plocy a 300 and a 500 deductible. How mich shol?uld you expect to pay the insurance company each month for
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I hope it helped you!
8 0
3 years ago
At the beginning of the project, it may not be possible to estimate the costs for all activities with a level of confidence rega
Marina CMI [18]

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