Chapter 8

Question 1

Correlation vs regression

Answer 1

Correlation=relationship

Regression= Statistical prediction(assumption)

Question 2

Linear regression

Answer 2

If there is a correlation established then from the persons score on one variable we can predict the persons score ont ehother variable

Question 3

Assumptions of linear regression

Answer 3

1. The data are homoscedastic

2. the Y scores at each X from an approximatly normal distribution

Question 4

Homoscedastic

Answer 4

Similar spread of data throughout

Question 5

Heteroscedastic

Answer 5

Uneven spread of data throughout

Question 6

Multiple regression

Answer 6

Regression analysis in which more than one predictor variable is used to predict the outcome of another variable

Question 7

3 types of multiple regression

Answer 7

1. Standard
2. Stepwise
3. Hierarchical

Question 8

Standard

Answer 8

All predictor variables entered in the equataion at the same time

Question 9

Stepwise

Answer 9

Predictor variables endered into the quation one at a time

Question 10

Hierarchical

Answer 10

Predictor variables enteresd intot he queation according to the predetermined order based on hypothesis

Question 11

Factor analysis

Answer 11

Used to identify underlying dimentions(factors) that account for relationships observed among variables

Question 12

3 basic uses of factor analysis

Answer 12

1. Study underlying structure of psychological constructs
2. Reduce large number of variables into smaller, more managable data set
3. Develop self-report measures of attitudes and personality