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Correlation Answers

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1
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Which of the following best describes why the equation ŷ = 11.4 – 0.0966x is called the least-squares regression line?

A
It maximizes the sum of the squared residuals.
B
It minimizes the sum of the squared residuals.
C
It has the least predictive qualities for the data.
D
It passes through each data point.
2
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ŷ ~ x +

A
–19.6784
B
–0.741505
C
0.741505
D
19.6784
3

ŷ ~ x +

A
–19.6784
B
–0.741505
C
0.741505
D
19.6784
4

r =

A
–0.9777
B
–0.9558
C
0.9558
D
0.9777
5

Carissa is researching LED TV prices. The output shows the result of a regression analysis of TV prices based on screen sizes (in inches).Use this graphic to answer the question.What is the equation of the least-squares regression line?

A
Option
B
Option
C
Option
D
Option
6

r ≈

A
–0.957
B
–0.916
C
0.916
D
0.957

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