you subtract the predicted value from the actual value.

you multiply r by standard deviation of y over the standard deviation of x.

you subtract the actual value from the predicted value.

The Coefficient of Determination is

r times the standard deviation of y over the standard deviation of x

On your TI Inspire Calculator the function used to find the LSRL is

menu - statistics-stats calculations-linear regression (a + bx)

menu - statistics-stats calculations-one variable statistics

menu - statistics-stats calculations-linear regression (mx + b)

menu - statistics-stats calculations-two variable statistics

The standard error (standard deviation) of the residuals tells us _________

our average error in predicting y

our average error in the correlation

whether we look good in the morning

One of the following is a correct statement involving correlation. The other three contain blunders. Which one is correct?

The correlation between amount of fertilizer and pounds of tomatoes harvested was found to be r = 0.33.

The correlation between the gas mileage of a car and its weight is r = -0.71 gallon-pounds.

The correlation between GPA and hours of sleep per night is r = 1.06.

There is a correlation of r = 0.54 between the position a football player plays and his or her weight.

With practice, people become faster at solving a certain type of mathematical puzzle. Fourteen college students were allowed to practice completing a certain type of mathematical puzzle for different amounts of time. Afterwards, each student’s completion time on a new puzzle was measured. The Residual plot for regression of Completion Time on Practice Time is shown below. Which of the following is correct?

There is a non-linear relationship between Practice Time and Puzzle Completion Time.

There is a no relationship between Practice Time and Puzzle Completion Time.

This regression equation would likely overestimate the Puzzle Completion Time for 175 minutes of practice time.

There is a linear relationship between Practice Time and Puzzle Completion Time.

Other things being equal, larger automobile engines are less fuel efficient. You are planning an experiment to study the effect of engine size (in liters) on the fuel efficiency (in mpg) of sport utility vehicles. In this study

gas mileage is a response variable, and you expect to find a negative association.

gas mileage is a response variable, and you expect to find a positive association.

gas mileage is an explanatory variable, and you expect to find a strong negative association.

gas mileage is an explanatory variable, and you expect to find a strong positive association.

gas mileage is an explanatory variable, and you expect to find very little association.

A set of data describes the relationship between the size of annual salary raises and the performance ratings for employees of a certain company. The least squares regression equation is ŷ = 1400 + 2000x where y is the raise amount (in dollars) and x is the performance rating. Which of the following statements must be true?

If the mean performance rating is 1.2, then the mean raise is $3800.

For each one-point increase in performance rating, the raise will increase on average by$1400.

The actual relationship between salary raises and performance rating is linear.

The residuals for half the observations in the dataset will be positive.

The correlation between salary raise and performance rating is negative.

You are interested in predicting the cost of heating houses on the basis of how many rooms the house has. A scatterplot of 25 houses reveals a strong linear relationship between these variables, so you calculate a least-squares regression line. “Least-squares” refers to

Minimizing the sum of the squares of the residuals.

Minimizing the sum of the squares of the 25 houses’ heating costs.

Minimizing the sum of the squares of the number of rooms in each of the 25 houses.

Minimizing the sum of the products of each house’s actual heating costs and the predicted heating cost based on the regression equation.

Minimizing the sum of the squares of the difference between each house’s heating costs and number of rooms.

AP Stats - Unit 4 - Exploring 2-Variable Data

Quiz

•

Mathematics

•

10th Grade - University

•

Practice Problem

•

Medium

•

CCSS

HSS.ID.B.6, HSS.ID.C.8, HSS.ID.C.7

+8

Standards-aligned

Christina Ditomasso

Used 23+ times

FREE Resource

25 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

10 mins • 1 pt

A

B

C

D

E

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.7

CCSS.HSS.ID.C.8

2.

MULTIPLE CHOICE QUESTION

10 mins • 1 pt

A

B

C

D

E

Tags

CCSS.HSS.IC.A.1

CCSS.HSS.IC.B.3

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.7

CCSS.HSS.ID.C.8

3.

MULTIPLE CHOICE QUESTION

10 mins • 1 pt

A

B

C

D

E

Tags

CCSS.HSS.ID.A.1

CCSS.HSS.ID.C.8

4.

MULTIPLE CHOICE QUESTION

10 mins • 1 pt

A

B

C

D

E

Tags

CCSS.HSS.ID.C.7

5.

MULTIPLE CHOICE QUESTION

10 mins • 1 pt

A

B

C

D

E

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

CCSS.HSS.ID.C.9

6.

MULTIPLE CHOICE QUESTION

10 mins • 1 pt

A

B

C

D

E

Tags

CCSS.HSF.LE.A.1

CCSS.HSS.ID.C.7

7.

MULTIPLE CHOICE QUESTION

10 mins • 1 pt

A

B

C

D

E

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.7

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AP Stats - Unit 4 - Exploring 2-Variable Data

25 questions

In a scatterplot r is called

A strong correlation is

To find a Residual,

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