13-14 test review

Question 1

A group of techniques to measure the relationship between two variables

Answer 1

Correlation analysis

Question 2

The variable that provides the basis for estimating or predicting

Answer 2

Independent variable

Question 3

The variable that is being predicted or estimated

Answer 3

Dependent variable

Question 4

A measure of strength of the linear relationship between two variables of interval or ratio scale

Answer 4

Correlation coefficient

Question 5

The technique used to develop a regression equation and provide estimates is called

Answer 5

regression analysis

Question 6

an equation that expresses the linear relationship between two variables

Answer 6

Regression equation

Question 7

A mathematical procedure that uses the data to position a line with the objective of minimizing the sum of the squares of the vertical distances between the actual y-values and the predicted values of y.

Answer 7

Least Squares Principal

Question 8

A measure of dispersion, or scatter, of the observed values around the line of regression for a given value of x

Answer 8

Standard error of estimate

Question 9

The proportion of the total variation in the dependent variable Y that is explained by the variation in x

Answer 9

Coefficient of determination

Question 10

What must be done to data that is not linear to run a regression analysis

Answer 10

It should be transformed by using log base 10, square root, or reciprocals

Question 11

What is the multiple regression formula

Answer 11

yhat= a+bx1+bx2

Question 12

The square root of SSE/n-(K+1), also the square root of MSE

Answer 12

Multiple standard error of estimate

Question 13

The percent of variation in the dependent variable y, explained by the set of independent variables

Answer 13

Coefficient of multiple determination

Question 14

What does SSR/SST give you

Answer 14

Coefficient of multiple determination

Question 15

An adjustment for the tendency of the coefficient of multiple determination to increase as more independent variables are added.

Answer 15

Adjusted coefficient of determination

Question 16

What are the 5 assumptions of a for a multiple regression test

Answer 16

There is a linear relationship
2. The variation in the residuals is the same for both large and small values of yhat
3. The residuals follow the normal probability distribution
4. The independent variables should not be correlated
5. The residuals are in independent

Question 17

Term for The variation around the regression equation is the same for all of the values of the independent variables

Answer 17

Homoscedasticity

Question 18

Term for events where independent variables are correlated

Answer 18

Multicollinearity

Question 19

When successive residuals are correlated. Residuals will cluster mostly positive on the left and negative on the right

Answer 19

Autocorrelation

Question 20

A variable in which there are only two possible outcomes. For analysis, one of the outcomes is coded a 1 and the other a 0

Answer 20

Dummy Variable

Question 21

The effect of one factor on a response variable differs depending on the value of another factor. One independent variable has an effect on the other that effects the prediction of the dependent variable

Answer 21

interaction

Question 22

A step by step method to determine a regression equation that begins with a single independent variable and adds or deletes independent variables one by one.

Answer 22

Stepwise regression