AnswersDRHS GA-Statistical ReasoningR-squared and s

R-squared and s — Unit test Answers

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21
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The scatterplot illustrates the relationship between two quantitative variables: the number of seeds planted per square foot and the yield of the crop (in pounds per square foot).

Question illustration
A
The more seeds that are planted per square foot, the smaller the expected yield of the crop.
B
The more seeds that are planted per square foot, the larger the expected yield of the crop.
C
The expected yield of a crop is high whenever the number of seeds planted per square foot is small or large. A larger yield is expected when the number of seeds per square foot is around 60.
D
The expected yield of a crop is low whenever the number of seeds planted per square foot is small or large. A larger yield is expected when the number of seeds per square foot is around 60.
22
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The owner of a used car dealership is trying to determine if there is a relationship between the price of a used car and the number of miles it has been driven. The owner collects data for 25 cars of the same model with different mileage and determines each car’s price using a used car website. The analysis is given in the computer output.Using the computer output, what is the value of the coefficient of determination?

Question illustration
A
0.46
B
0.68
C
0.70
D
0.82
23

A sports statistician was interested in the relationship between game attendance (in thousands) and the number of wins for baseball teams. Information was collected on several teams and was used to obtain the regression equation ŷ = 4.9x + 15.2, where x represents attendance (in thousands) and ŷ is the predicted number of wins. Which statement best describes the meaning of the slope of the regression line?

A
For each increase in attendance by 1,000, the predicted number of wins increases by 4.9.
B
For each increase in attendance by 1,000, the predicted number of wins increases by 15.2.
C
For each increase in the number of wins by 1, the predicted attendance increases by 4,900.
D
For each increase in the number of wins by 1, the predicted attendance increases by 15,200.
24

A sports statistician was interested in the relationship between game attendance (in thousands) and the number of wins for baseball teams. Information was collected on several teams and was used to obtain the regression equation ŷ = 4.9x + 15.2, where x represents the attendance (in thousands) and ŷ is the predicted number of wins. What is the predicted number of wins for a team that has an attendance of 2,100?

A
25.49 wins
B
31.92 wins
C
36.82 wins
D
10,305.2 wins
25

An analysis of the decay of 10 grams of an unstable element over time was completed and is displayed in the computer output.

Question illustration
A
Option
Option A
B
Option
Option B
C
Option
Option C
D
Option
Option D

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R-squared and s — Unit test Answers — DRHS…