Describe in words the nature of the relationship between each pair of variables as indicated by the value of the correlation coefficient. Be sure to include

a. the direction of the relationship

b. the strength of the relationship

c. a verbal description of the way the variables go together

Type out your responses on a separate sheet of paper.

1. r = -.55 between craving for pizza and ability to concentrate on studying.

2. r = -.86 between amount of alcohol consumed and performance

3. r = +.65 between amount of money won and the number of hot dogs purchased at race tracks.

4. r = + .00 between the number of yearly predictions by psychics and the number of correct predictions.

Multiple Regression:

A researcher has collected data on BDI (Beck Depression Inventory), PANAS (positive affect/negative affect scale) and score on a life satisfaction measure. Run a multiple regression predicting life satisfaction score based on BDI and PANAS scales. Attach the SPSS output to your answers. Answer these questions:

a. Describe each correlation and whether they are significant or not.

b. The predictors are:

The criterion variable is:

c. Write the full standardized and unstandardized regression equation

d. How much variance is explained by these two predictors? Did this set of predictors significantly estimate life satisfaction score? How do you know?

e. Which ones were the best predictors of life satisfaction? (Base your answer on the standardized betas obtained and t-tests) Attach the SPSS output to your answers

Data:

Person (This is NOT a variable do not enter)	BDI	PANAS	Life_Sat
1	15	38	11
2	12	25	13
3	14	31	14
4	15	33	16
5	10	20	18
6	9	20	24
7	8	20	23
8	8	21	23
9	7	22	25
10	14	35	13
11	11	18	12
12	16	32	10
13	15	37	11
14	13	26	12
15	13	30	12
16	14	31	15
17	11	19	17
18	10	19	23
19	8	20	22
20	9	22	21
21	8	20	24
22	13	34	12
23	12	19	12
24	15	31	11

Attach the SPSS output to your answers!