Exam 13: Correlation and Linear Regression

The relationship between interest rates as a percent (X) and housing starts (Y) is given by the linear equation Ŷ = 4094 - 269X. What happens to housing starts as interest rates fall? ________

What is the variable used to predict another variable called?

Which of the following is true about the standard error of estimate?

A sales manager for an advertising agency believes that there is a relationship between the number of contacts that a sales person makes and the amount of the sales dollars earned. A regression analysis shows the following results: What is the decision regarding the hypothesis that the slope equals zero?

A regression analysis yields the following information: Compute the 95% confidence interval when X = 4.

What is the general form of the regression equation?

A random sample of 15 homes that recently sold is obtained. The correlation between the area of the home, in square feet, and the selling price is 0.40. We want to test the null hypothesis that the correlation in the population is less than or equal to zero versus the alternate that it is greater than zero. The rejection region will fall in the ________ tail of a t distribution.

In the regression equation, what does the letter "X" represent?

Using the following information: The regression equation is:

If there is absolutely no relationship between two variables, what will Pearson's r equal? _____

What principle is applied when calculating the regression coefficients? _________________

How do we designate the population correlation coefficient? _____

A sales manager for an advertising agency believes that there is a relationship between the number of contacts that a sales person makes and the amount of the sales dollars earned. A regression analysis shows the following results: = 33.4. = 2814.4. The 95% prediction interval for a particular person making 30 calls is

Using the following regression analysis. What is the regression mean square?

The strength of the correlation between two variables depends on the sign of the coefficient of correlation.

What can we conclude if the coefficient of determination is 0.94?

A sales manager for an advertising agency believes that there is a relationship between the number of contacts that a sales person makes and the amount of the sales dollars earned. What is the dependent variable?

The Pearson product-moment correlation coefficient, r, requires that variables are measured with:

High school students were interested in a teacher's claim that the length of time (hours) that a student studies for a test, the higher the test score. The students collected the data and the teacher did the regression analysis with the following results.

What is the alternate hypothesis to test the significance of the slope in a regression equation?