AnswersStatistical ReasoningCalculating the Least-Squares Regression Line

Calculating the Least-Squares Regression Line — Quiz Answers

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1
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The equation hat y is equal to negative 7 point 6 1 plus 0 point 1 9 x is called the least-squares regression line because it

A
passes through each data point.
B
minimizes the sum of the squared residuals.
C
maximizes the sum of the squared residuals.
D
is least able to make accurate predictions for the data.
2
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Using technology, what is the correlation coefficient?

A
0 point 9 1
B
0 point 6 8
C
0 point 9 5
D
0 point 8 3
3

Using technology, what is the equation for the least-squares regression line?

A
hat y is equal to 1 point 9 8 minus 34 point 1 3 x
B
hat y is equal to 0 point 5 0 plus 17 point 3 7 x
C
hat y is equal to 17 point 3 7 plus 0 point 5 0 x
D
hat y is equal to negative 34 point 1 3 plus 1 point 9 8 x
4

Using technology, the y -intercept is

A
4 point 5 , which means a student with no absences has a GPA of 4 point 5 .
B
3 point 7 9 , but it does not make sense to interpret the y -intercept in this context.
C
3 point 7 9 , which means a student with no absences is predicted to have a GPA of 3 point 7 9 .
D
4 point 5 , which means a student with no absences is predicted to have a GPA of 4 point 5 .
5

The equation hat y is equal to 54 point 1 6 plus 0 point 8 7 x is called the least-squares regression line because it

A
makes the sum of the squared residuals as large as possible.
B
is least able to make accurate predictions for the data.
C
causes the relationship between English scores and math scores to be strongest.
D
makes the sum of the squared residuals as small as possible.
6

Using technology, the slope of the least-squares regression line is

A
0 point 6 8 , which means for each additional point in the English score, the math score is predicted to increase by 0 point 6 8 points.
B
0 point 6 8 , which means for each additional point in the math score, the English score is predicted to increase by 0 point 6 8 points.
C
1 point 2 2 , which means for each additional point in the math score, the English score is predicted to increase by 1 point 2 2 points.
D
1 point 2 2 , which means for each additional point in the English score, the math score is predicted to increase by 1 point 2 2 points.
7

Using technology, what is the correlation?

A
negative 0 point 1 0
B
0 point 5 6
C
negative 0 point 5 6
D
0 point 1 0
8

Using technology, what is the equation for the least-squares regression line?

A
hat y is equal to negative 3 point 2 8 plus 16 point 1 5 x
B
hat y is equal to 16 point 1 5 minus 3 point 2 8 x
C
hat y is equal to 0 point 1 0 plus 3 point 7 9 x
D
hat y is equal to 3 point 7 9 minus 0 point 1 0 x
9

Using technology, what is the equation for the least-squares regression line?

A
hat y is equal to 0 point 6 8 plus 180 point 2 x
B
hat y is equal to 180 point 2 plus 0 point 6 8 x
C
hat y is equal to negative 124 point 1 plus 1 point 2 2 x
D
hat y is equal to 1 point 2 2 minus 124 point 1 x
10

Using the computer output, what is the equation of the least-squares regression line?

A
hat y is equal to 0 point 3 1 0 plus 4 point 3 1 7 x
B
hat y is equal to 4 point 3 1 7 plus 0 point 3 1 0 x
C
hat y is equal to 1 point 5 8 5 minus 14 point 7 1 x
D
hat y is equal to negative 14 point 7 1 plus 1 point 5 8 5 x

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