Question 1

Write possible coordinates for the single outlier such that it would no longer be an outlier.

Accepted Answer

A) (8, 25) 
B) (8, 20) 
C) (8, 5) 
D) (25, 8) 
A) (8, 25) 
B) (8, 20) 
C) (8, 5) 
D) (25, 8)

Question 2

Select the best-fit line for the data on the scatter diagram. If none of the lines fit the data, write "none of the lines".
-Select the best-fit line on the scatter diagram below.

Accepted Answer

A)  $C$ 
B)  $B$ 
C)  $\mathrm { A }$ 
D)  none of the lines 
A)  $C$ 
B)  $B$ 
C)  $\mathrm { A }$ 
D)  none of the lines

Question 3

Solve the problem. Round your answers to the nearest whole percent.
-

The scatter diagram shows the data for the prices of a stock (y) and U.S. employment (x). The correlation coeffici $0.8$. Determine how much of the variation in the stock price can be accounted for by the best-fit line.

Accepted Answer

A)  $80 \%$ 
B)  $36 \%$ 
C)  $20 \%$ 
D)  $64 \%$ cient r is 
A)  $80 \%$ 
B)  $36 \%$ 
C)  $20 \%$ 
D)  $64 \%$ cient r is

Question 4

Answer the question using the value of r and the given best-fit line on the scatter diagram.
- 
 The scatter diagram and best-fit line show the data for the price of a stock (y)and U.S. employment (x). The correlation coefficient r is 0.8. Predict the stock price for an employment value of 11.

Accepted Answer

A) 9.8 
B) 9 
C) 8 
D) No valid prediction is possible. 
A) 9.8 
B) 9 
C) 8 
D) No valid prediction is possible.

Question 5

State whether you believe the two variables are correlated. If you believe they are correlated, state whether the correlation is positive or negative.
-The time it takes to read a book and the length of the book

Accepted Answer

A) Positive correlation 
B) Negative correlation 
C) Not correlated 
A) Positive correlation 
B) Negative correlation 
C) Not correlated

Question 6

Solve the problem.
-There is a strong correlation between the number of homicides and the number of gas stations in a town. Local activists claim that building more gas stations will cause the homicide rate to rise. Evaluate the claim of causality.

Accepted Answer

Strong correlation does not im

Question 7

The table contains the weights (in pounds)and heights (in inches)of 9 randomly selected adults. Estimate or compute the correlation coefficient. $$\begin{array} { c c } 
\hline \text { Weight (lb) }&\text {Height (in.) } \ 
\hline 150 & 72 \
135 & 68 \
145 & 68 \
145 & 65 \
125 & 60 \
130 & 62 \
128 & 70 \
130 & 65 \
155 & 75 \
\hline
\end{array}$$

Accepted Answer

A) 0.54 
B) -0.73 
C) -0.54 
D) 0.73 
A) 0.54 
B) -0.73 
C) -0.54 
D) 0.73

Question 8

Select the best-fit line for the data on the scatter diagram. If none of the lines fit the data, write "none of the lines".
-Select the best-fit line on the scatter diagram below.

Accepted Answer

A)  $\mathrm { C }$ 
B)  $\mathrm { B }$ 
C)  $\mathrm { A }$ 
D)  none of the lines 
A)  $\mathrm { C }$ 
B)  $\mathrm { B }$ 
C)  $\mathrm { A }$ 
D)  none of the lines

Question 9

Determine whether the stated causal connection is valid or not valid.
-The fuel economy of a car is affected by the car's type of upholstery.

Accepted Answer

A) Valid 
B) Not valid 
A) Valid 
B) Not valid

Question 10

Determine whether the stated causal connection is valid or not valid.
-The fuel economy of a car is affected by the car's engine size.

Accepted Answer

A) Valid 
B) Not valid 
A) Valid 
B) Not valid

Question 11

Including the outlier, estimate or compute the correlation coefficient for the complete data set.

Accepted Answer

A) -0.62 
B) -0.83 
C) 0.83 
D) 0.62 
A) -0.62 
B) -0.83 
C) 0.83 
D) 0.62

Question 12

State whether you believe the two variables are correlated. If you believe they are correlated, state whether the correlation is positive or negative.
-The number of hours one sleeps and the number of hours one is awake

Accepted Answer

A) Positive correlation 
B) Negative correlation 
C) Not correlated 
A) Positive correlation 
B) Negative correlation 
C) Not correlated

Question 13

Solve the problem.
-A reporter studied the causes of household fires in his town and found a strong correlation between the damages (in dollars)and the number of fire trucks at the scene. The reporter's newspaper ran a headline claiming that using more fire trucks at the scene seems to cause more harm than good. Is the newspaper right in
their claim?

Accepted Answer

The newspaper is incorrect in

Question 14

State whether you believe the two variables are correlated. If you believe they are correlated, state whether the correlation is positive or negative.
-The age of a textbook and how well it is written

Accepted Answer

A) Positive correlation 
B) Negative correlation 
C) Not correlated 
A) Positive correlation 
B) Negative correlation 
C) Not correlated

Question 15

Solve the problem. Round your answers to the nearest whole percent.
-  The scatter diagram shows the data for price per item (y)and the availability of that item (x). The correlation coefficient r
Is -0.95. Determine how much of the variation in price per item can be accounted for by the best-fit line.

Accepted Answer

A) 5% 
B) 10% 
C) 95% 
D) 90% 
A) 5% 
B) 10% 
C) 95% 
D) 90%

Question 16

Select the best estimate of the correlation coefficient for the data depicted in the scatter diagram.
-

Accepted Answer

A) 0.9 
B) -0.6 
C) -0.1 
D) 0.6 
A) 0.9 
B) -0.6 
C) -0.1 
D) 0.6

Question 17

The table contains the weights (in pounds)and heights (in inches)of 9 randomly selected adults. You learn that the five smallest weights were all women. How does this change your view of the correlation? $$\begin{array} { c c } 
\hline \text { Weight (lb) }& \text {Height (in.) } \ 
\hline 128 & 70 \
130 & 65 \
155 & 75 \
150 & 72 \
135 & 68 \
145 & 68 \
145 & 65 \
125 & 60 \
130 & 62
\end{array}$$

Accepted Answer

The correlation is a strong on

Question 18

Answer the question using the value of r and the given best-fit line on the scatter diagram.
-  The scatter diagram and best-fit line show the data for the number of cars waiting by a school (y)and the amount of time after the end of classes (x). The correlation coefficient r is -0.55. Predict the number of cars at time 8
After the end of classes.

Accepted Answer

A) 6 
B) No valid prediction is possible. 
C) 5 
D) 7 
A) 6 
B) No valid prediction is possible. 
C) 5 
D) 7

Question 19

Construct a scatter diagram with several groups of uncorrelated data but a strong correlation among all the data.

Accepted Answer

A) 
  
B) 
  
C) 
  
D) 
  
A) 
  
B) 
  
C) 
  
D)

Question 20

Determine whether the stated causal connection is valid or not valid.
-Alcohol intoxication can be prevented by drinking light beer.

Accepted Answer

A) Valid 
B) Not valid 
A) Valid 
B) Not valid

Write possible coordinates for the single outlier such that it would no longer be an outlier.

Select the best-fit line for the data on the scatter diagram. If none of the lines fit the data, write "none of the lines". -Select the best-fit line on the scatter diagram below.

Solve the problem. Round your answers to the nearest whole percent. - The scatter diagram shows the data for the prices of a stock (y) and U.S. employment (x). The correlation coeffici $0.8$ . Determine how much of the variation in the stock price can be accounted for by the best-fit line.

Answer the question using the value of r and the given best-fit line on the scatter diagram. - The scatter diagram and best-fit line show the data for the price of a stock (y)and U.S. employment (x). The correlation coefficient r is 0.8. Predict the stock price for an employment value of 11.

State whether you believe the two variables are correlated. If you believe they are correlated, state whether the correlation is positive or negative. -The time it takes to read a book and the length of the book

Solve the problem. -There is a strong correlation between the number of homicides and the number of gas stations in a town. Local activists claim that building more gas stations will cause the homicide rate to rise. Evaluate the claim of causality.

The table contains the weights (in pounds)and heights (in inches)of 9 randomly selected adults. Estimate or compute the correlation coefficient. Weight (lb) Height (in.) 150 72 135 68 145 68 145 65 125 60 130 62 128 70 130 65 155 75

Select the best-fit line for the data on the scatter diagram. If none of the lines fit the data, write "none of the lines". -Select the best-fit line on the scatter diagram below.

Determine whether the stated causal connection is valid or not valid. -The fuel economy of a car is affected by the car's type of upholstery.

Determine whether the stated causal connection is valid or not valid. -The fuel economy of a car is affected by the car's engine size.

Including the outlier, estimate or compute the correlation coefficient for the complete data set.

State whether you believe the two variables are correlated. If you believe they are correlated, state whether the correlation is positive or negative. -The number of hours one sleeps and the number of hours one is awake

State whether you believe the two variables are correlated. If you believe they are correlated, state whether the correlation is positive or negative. -The age of a textbook and how well it is written

Select the best estimate of the correlation coefficient for the data depicted in the scatter diagram. -

The table contains the weights (in pounds)and heights (in inches)of 9 randomly selected adults. You learn that the five smallest weights were all women. How does this change your view of the correlation? Weight (lb) Height (in.) 128 70 130 65 155 75 150 72 135 68 145 68 145 65 125 60 130 62

Construct a scatter diagram with several groups of uncorrelated data but a strong correlation among all the data.

Determine whether the stated causal connection is valid or not valid. -Alcohol intoxication can be prevented by drinking light beer.

Speaking of Statistics

Measurement in Statistics

Visual Displays of Data

Describing Data

A Normal World

Probability in Statistics

Inferences From Samples to Populations

Hypothesis Testing

T Tests, Two-Way Tables, and Anova

Filters

Exam 7: Correlation and Causality

Write possible coordinates for the single outlier such that it would no longer be an outlier.

Select the best-fit line for the data on the scatter diagram. If none of the lines fit the data, write "none of the lines". -Select the best-fit line on the scatter diagram below.

Solve the problem. Round your answers to the nearest whole percent. - The scatter diagram shows the data for the prices of a stock (y) and U.S. employment (x). The correlation coeffici 0.80.80.8 . Determine how much of the variation in the stock price can be accounted for by the best-fit line.

Answer the question using the value of r and the given best-fit line on the scatter diagram. - The scatter diagram and best-fit line show the data for the price of a stock (y)and U.S. employment (x). The correlation coefficient r is 0.8. Predict the stock price for an employment value of 11.

State whether you believe the two variables are correlated. If you believe they are correlated, state whether the correlation is positive or negative. -The time it takes to read a book and the length of the book

Solve the problem. -There is a strong correlation between the number of homicides and the number of gas stations in a town. Local activists claim that building more gas stations will cause the homicide rate to rise. Evaluate the claim of causality.

The table contains the weights (in pounds)and heights (in inches)of 9 randomly selected adults. Estimate or compute the correlation coefficient. Weight (lb) Height (in.) 150 72 135 68 145 68 145 65 125 60 130 62 128 70 130 65 155 75

Select the best-fit line for the data on the scatter diagram. If none of the lines fit the data, write "none of the lines". -Select the best-fit line on the scatter diagram below.

Determine whether the stated causal connection is valid or not valid. -The fuel economy of a car is affected by the car's type of upholstery.

Determine whether the stated causal connection is valid or not valid. -The fuel economy of a car is affected by the car's engine size.

Including the outlier, estimate or compute the correlation coefficient for the complete data set.

State whether you believe the two variables are correlated. If you believe they are correlated, state whether the correlation is positive or negative. -The number of hours one sleeps and the number of hours one is awake

State whether you believe the two variables are correlated. If you believe they are correlated, state whether the correlation is positive or negative. -The age of a textbook and how well it is written

Select the best estimate of the correlation coefficient for the data depicted in the scatter diagram. -

The table contains the weights (in pounds)and heights (in inches)of 9 randomly selected adults. You learn that the five smallest weights were all women. How does this change your view of the correlation? Weight (lb) Height (in.) 128 70 130 65 155 75 150 72 135 68 145 68 145 65 125 60 130 62

Construct a scatter diagram with several groups of uncorrelated data but a strong correlation among all the data.

Determine whether the stated causal connection is valid or not valid. -Alcohol intoxication can be prevented by drinking light beer.

Speaking of Statistics

Measurement in Statistics

Visual Displays of Data

Describing Data

A Normal World

Probability in Statistics

Inferences From Samples to Populations

Hypothesis Testing

T Tests, Two-Way Tables, and Anova

Filters

Solve the problem. Round your answers to the nearest whole percent. - The scatter diagram shows the data for the prices of a stock (y) and U.S. employment (x). The correlation coeffici $0.8$ . Determine how much of the variation in the stock price can be accounted for by the best-fit line.