Quiz about AA Unit 1 Linear Models Review

Question 1

Estimate the value of r:

Accepted Answer

0.89

Answer

-0.7

Answer

0.35

Question 2

Estimate the value of r:

Accepted Answer

0.99

Answer

0.05

Answer

-0.99

Question 3

Estimate the value of r:

Accepted Answer

-0.72

Answer

0.03

Answer

-0.99

Answer

0.79

Question 4

If the correlation coefficient of a table of data is 0.90, what is true about the line of best fit?

Accepted Answer

There is a strong, positive relationship

Answer

There is a weak, positive relationship

Answer

There is a weak, negative relationship

Answer

There is a strong, negative relationship

Question 5

Using your calculator find the line of fit.

Accepted Answer

y = .25x + 8.25

Answer

y = 8.25x + .25

Answer

y = x + 1

Question 6

Using your calculator, what is the correlation coefficient for the table?

Accepted Answer

1

Answer

-1

Answer

.25

Answer

8.25

Question 7

The line of best fit is y = .25x + 8.25.  What is the slope with unit?

Accepted Answer

.25 inches per widget

Answer

.25 widgets per inch

Answer

8.25 widgets per inch

Answer

8.25 inches per widget

Question 8

The line of best fit is y = .25x + 8.25.  What is the y intercept with units?

Accepted Answer

8.25 inches

Answer

.25 inches

Answer

8.25 widgets

Answer

.25 widgets

Question 9

y = 13x +143 is the least squares regression line.  What is the slope with units?

Accepted Answer

13 calories per gram of fat

Answer

13 grams of fat per calorie

Answer

143 calories per gram of fat

Answer

143 gram of fat per calorie

Question 10

y = 13x +143 is the least squares regression line.  What is the y intercept with units.

Accepted Answer

143 calories

Answer

13 calories

Answer

13 grams of fat

Answer

143 grams of fat

Question 11

y = 13x +143 is the least squares regression line.  Use the line to predict the number of calories if the food has 5 grams of fat.

Accepted Answer

208

Answer

10.6

Answer

161

Answer

204

Question 12

The line predicted that there are 208 Calories in 5 grams.  Is this an example of interpolation or extrapolation

Accepted Answer

extrapolation

Answer

interpolation

Question 13

y = 13x +143 is the least squares regression line.  Use the line to predict the number of fat grams in 400 calories.

Accepted Answer

19.77

Answer

5343

Answer

15.80

Answer

112.23

Question 14

The line predicted the number of fat grams in 400 Calories was about 20.  This is an example of interpolation or extrapolation.

Accepted Answer

interpolation

Answer

extrapolation

Question 15

As the number of farms has decreased in the United States, the average size of the remaining farms has grown larger, as shown in the table.

What are the units of slope?

Accepted Answer

average acre per farm per year

Answer

years

Answer

acres per farm

Answer

years per average acre per farm

Question 16

Using the data table what can you conclude?

Accepted Answer

The year and the average acreage of per farm is positively correlated.

Answer

The year causes the acreage of farms to increase.

Answer

The year and the average acreage of per farm is negatively correlated.

Question 17

Ms. Moreland noticed that as the number a tardies a student had increased their grade in class decreased. What can you conclude?

Accepted Answer

The number of tardies a student has is negatively correlated with their grade.

Answer

The number of tardies to class causes the students grade to decrease.

Answer

A students grade causes a student to be tardy.

Answer

The number of tardies a student has is positively correlated with their grade.

Question 18

Mr. Jenson noticed that when number of roses sold at his store increases so does the number of chocolates. Does this mean roses causes more chocolates to be sold? What is the lurking variable?

Accepted Answer

No the lurking variable could be Valentines day.

Answer

Yes there is no lurking variable.

Answer

No the lurking variable is the number of cards sold.

Question 19

The number of flu vaccines given and the number of flu cases reported

Accepted Answer

Negative

Answer

Positive

Answer

None

Question 20

The number of overtime hours worked and the amount paid

Accepted Answer

Positive

Answer

Negative

Answer

None

Question 21

At what segment is John not moving?

Accepted Answer

C

Answer

A

Answer

B

Answer

D

Question 22

At what segments is John traveling AWAY from home?

Accepted Answer

A

Accepted Answer

B

Answer

C

Answer

D

Question 23

John is traveling to school:

At what segment is John moving the fastest?

Accepted Answer

B

Answer

A

Answer

C

Answer

D

Question 24

At what segment is John traveling back home?

Accepted Answer

D

Answer

A

Answer

B

Answer

C

Question 25

The graph shows Ms. Kountz's road trip.

What are the units for the rate of change?

Accepted Answer

Miles per hour

Answer

Hours per mile

Answer

Distance per time

Answer

Miles

Question 26

The graph shows Ms. Kountz's road trip. Write an equation for line segment B

Accepted Answer

y-110 = 35(x-2)

Answer

y = 35x + 110

Answer

y = 35x + 0

Answer

y-2 = 35(x-110)

AA Unit 1 Linear Models Review

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