Question 1

What is the name of the process used to fine the "line of best fit"?

Accepted Answer

regression

Answer

extrapolation

Answer

interpolation

Answer

correlation

Question 2

Which is the best prediction for the correlation coefficient?

Accepted Answer

r = -0.8

Answer

r = -0.3

Answer

r = 0.8

Answer

r = -1

Question 3

What term is used when making predictions beyond the values given for x?

Accepted Answer

extrapolation

Answer

correlation

Answer

regression

Answer

interpolation

Question 4

From the graph, what is the predicted weight of someone who is 50 inches tall?

Accepted Answer

108 pounds

Answer

14 pounds

Answer

130 pounds

Answer

94 pounds

Question 5

If the linear model  is appropriate, what should you see in the residual plot?

Accepted Answer

no pattern

Answer

a pattern

Question 6

Fill in the blank: R-squared is the percent of _______ that is accounted for by the linear model.

Accepted Answer

variation

Answer

data

Answer

correlation

Answer

standard deviation

Question 7

If an x is 1.5 SD's above average, what would you predict for the value of y?

Accepted Answer

1.5r SD's above average

Answer

1.5 SD's below average

Answer

1.5r SD's below average

Answer

1.5 SD's above average

Question 8

How do you find a residual?

Accepted Answer

actual - predicted

Answer

predicted - actual

Answer

use LinReg in the calculator

Question 9

For the linear equation: price = 0.50(year) + 1.25, what does the slope tell us?

Accepted Answer

The price went up 0.50 per year

Answer

The years went up by 0.50 per price

Answer

The initial price is 1.25

Answer

The price went up 1.25 per year

Question 10

For the linear model y = -2.5x + 12, if r-squared is 86%, what is the correlation coefficient?

Accepted Answer

-0.93

Answer

-0.86

Answer

0.93

Answer

9.3

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