1.Using the following information select the appropriate interpretation for the correlation coefficient:

Variables being compared are age in years and annual salary.

r = -0.15

Group of answer choices

It indicates a weak negative correlation which implies, as age increases annual salary decreases

It indicates a strong positive correlation which implies, as age increases annual salary also increases

It indicates a strong negative correlation which implies, as age increases annual salary decreases

It indicates a weak positive correlation which implies, as age increases annual salary decreases

It indicates a very weak/ no correlation

It indicates a weak negative correlation which implies, as age increases annual salary also increases

2.Select the appropriate interpretation for the slope of the linear regression equation below.

Y (Dependent Variable) = Cost of an annual pass to Disney in dollars

X (Independent Variable) = Average number of people who visit each day in thousands of people

yhat = 2122.86 - 30*X

Group of answer choices

There is not enough information to answer this question

For every 1 dollar more that a Disney annual pass costs then on average the daily attendanceat the park has decreased by 30 thousand people.

For every 1 dollar less that a Disney annual pass costs then on average the daily attendance at the park has increased by 30 thousand people.

For every 1 thousand more people on average who visit Disney each day then the price of an annual pass will increase on average by 30 dollars

For every 1 thousand more people on average who visit Disney each day then the price of an annual pass will decrease on average by 30 dollars

The independent variable does not have a significant influence on the dependent variable

3.Conduct a hypothesis test based on the following information using a significance level of 5%:

Research Question: Are people running more than 23.95 miles per week?

Population standard deviation was KNOWN

Test statistic = 1.45

Sample size = 31

Group of answer choices

Fail to reject the null hypothesis

Reject the null hypothesis

Reject the null alternative hypothesis

Fail to reject the null alternative hypothesis

4.Select statement below that is true about correlations.

Group of answer choices

Correlations are a measure of how much one variable changes as the other variable changes

Correlations are a measure used to determine the degree to which two variables are related.

A negative correlation implies no relationship between variables

Correlations are a measure of causation between two variables

Correlations can only be positive

Correlations can only be negative