### All AP Statistics Resources

## Example Questions

### Example Question #1 : Bivariate Data

Which of the following correlation coefficients indicates the strongest relationship between variables?

**Possible Answers:**

**Correct answer:**

Correlation coefficients range from 1 to -1. The closer to either extreme, the stronger the relationship. The closer to 0, the weaker the relationship.

### Example Question #2 : How To Find Correlation

It is found that there is a correlation of exactly between two variables. Which of the following is incorrect?

**Possible Answers:**

There is a strong association between the two variables.

All of the answer choices are correct

Correlation is measured on a scale of to

The association between the two variables is positive

There is enough evidence, with a correlation of , to assert that one variable causes the other

**Correct answer:**

There is enough evidence, with a correlation of , to assert that one variable causes the other

Under no circumstance will correlation ever equate to causation, regardless of how strong the correlation between two variables is. In this case, all other answer choices are correct.

### Example Question #2 : Bivariate Data

In a medical school, it is found that there is a correlation of between the amount of coffee consumed by students and the number of hours students sleep each night. Which of the following is true?

i. There is a positive association between the two variables.

ii. There is a strong correlation between the two variables.

iii. Coffee consumption in medical school students causes students to sleep less each night.

**Possible Answers:**

i and ii

ii only

i, ii, and iii

i and iii

iii only

**Correct answer:**

ii only

Since the correlation is negative, there must be a negative association between the two variables (therefore statement i is incorrect). Statement ii is correct since a correlation of to on an absolute value scale of to is considered to be a strong correlation. Statement iii is incorrect since correlation does **not** mean causation.

### Example Question #3 : Bivariate Data

Which of the following shows the least correlation between two variables?

**Possible Answers:**

**Correct answer:**

The strength of correlation is measured on an absolute value scale of to with being the least correlated and being the most correlated. The positive or negative in front of the correlation integer simply determines whether or not there is a positive or negative correlation between the variables.

A correlation of means that there is no correlation at all between two variables.

### Example Question #1 : How To Find Correlation

Which of the following correlation coefficients implies the strongest relationship between variables:

**Possible Answers:**

**Correct answer:**

A high correlation coefficient regardless of sign implies a stronger relationship. In this case has a stronger negative relationship than the positive relationship described by a value of

### Example Question #4 : Bivariate Data

A national study on cell phone use found the following correlations:

-The correlation between the number of texts sent each day and a person's average credit card debt is .

-The correlation between the number of texts sent each day and the number of books read each month is .

Which of the following statements are true?

i. As the number of texts sent each day increases, average credit card debt increases.

ii. Sending more texts causes people to read less.

iii. A person's average credit card debt is related more strongly to the number of texts sent each day than the number of books read each month is related to the number of texts sent each day.

**Possible Answers:**

i and ii

ii and iii

iii

ii

i and iii

**Correct answer:**

i and iii

i is correct because there is a positive correlation between the number of texts sent each day and average credit card debt.

ii is incorrect because the word "cause" was used in the statement. Correlation does not mean causation. There is a relationship between the number of texts sent each day and the number of books that a person reads each month. However, the number of texts sent each day does not cause a person to read a certain number of books each month.

iii is correct because the absolute values of the correlations indicate which correlation is stronger. is a stronger correlation than .

### Example Question #5 : Bivariate Data

A basketball coach wants to determine if a player's height can predict the number of points the player scores in a season. Which statistical test should the coach conduct?

**Possible Answers:**

Correlation

Linear regression

ANOVA

P-score

T-test

**Correct answer:**

Linear regression

Linear regression is the best option for determining whether the value of one variable predicts the value of a second variable. Since that is exactly what the coach is trying to do, he should use linear regression.

### Example Question #6 : Bivariate Data

In a regression analysis, the y-variable should be the ___________ variable, and the x-variable should be the ___________ variable.

**Possible Answers:**

Independent, Dependent

Qualified, Unqualified

First, Second

Greater, Lesser

Dependent, Independent

**Correct answer:**

Dependent, Independent

Regression tests seek to determine one variable's ability to predict another variable. In this analysis, one variable is dependent (the one predicted), and the other is independent (the variable that predicts). Therefore, the dependent variable is the y-variable and the independent variable is the x-variable.

### Example Question #7 : Bivariate Data

If a data set has a perfect negative linear correlation, has a slope of and an explanatory variable standard deviation of , what is the standard deviation of the response variable?

**Possible Answers:**

**Correct answer:**

The key here is to utilize

.

"Perfect negative linear correlation" means , while the rest of the problem indicates and . This enables us to solve for .

### Example Question #2 : Bivariate Data

A least-squares regression line has equation and a correlation of . It is also known that . What is

**Possible Answers:**

**Correct answer:**

Use the formula .

Plug in the given values for and and this becomes an algebra problem.

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