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Administrators at a local school district have observed that the relation betwee

ID: 3180350 • Letter: A

Question

Administrators at a local school district have observed that the relation between a previous year's test score and the current year's test score can be described as follows: Predicted_score = 0.06 + 0.93 + previous_score Where the current year's predicted score ("predicted_ score") is modeled as a function of a previous score ("previous_score") and a y-intercept (0.06). Interpret the slope term for the school district's equation. A. For a one-unit increase in the previous year's test score, the current score is predicted to rise by 0.93 points. B. For a one-unit decrease in the previous year's test score, the current score is predicted to rise by 0.93 points. C. For a one-unit increase in the previous year's test score, the current score is predicted to rise by 0.06 points. D. For a one-unit increase in the current year's test score, the previous year's test score is predicted to rise by 0.93 points. None of the above Mr. Ryan is a 5^th grade teacher. His student. Kelsey, scored a 0.10 on Her 4^th grade test. If she scored a 0.17 on her 5^th grade test, what was Mr. Ryan's value-added score for Kelsey? A. -.120 B. .017 C. .044 D. .230 E. .1.30

Explanation / Answer

Question 23

Correct Answer: A

For a one unit increase in the previous year’s test score, the current score is predicted to rise by 0.93 points.

(There is an increase because slope has positive sign.)

Question 24

Answer:

We are given previous year score = 0.10

The regression equation is given as below:

Predicted Current year score = 0.06 + 0.93*Previous year score

Predicted Current year score = 0.06 + 0.93*0.10 = 0.153

Kelsey’s Actual score = 0.17

Mr. Ryan’s value added score for Kelsey = 0.170 – 0.153 = 0.017

Required answer: B. 0.017

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