This problem set introduces you to the use of SPSS for analyzing data with multiple predictor variables and one continuous scale
This problem set introduces you to the use of SPSS for analyzing data with multiple predictor variables and one continuous scale DV to investigate comparison of means. You will perform a multiple regression analysis on the data and report your output.
General Requirements:
Use the following information to ensure successful completion of the assignment:
- Download the SPSS/PASW data set file Module 7 SPSS Data File,†and use it for this assignment.
- Download the Module 7 Problem Set†file and use it for this assignment.
Directions:
Perform the following tasks to complete this assignment:
- Conduct necessary analyses using SPSS so you can answer the questions listed in the exercise.
- Submit your responses to the exercise questions as a Word document.
- Submit the SPSS Output files showing the analyses you performed in SPSS to compute the answers for related questions.
| VARIABLE VIEW | ||||||||||||
| NAME | TYPE | WIDTH | DECIMALS | LABEL | VALUES | MISSING | COLUMNS | ALIGN | MEASURE | ROLE | ||
| age | Numeric |
3 |
0 |
Age | None | None |
8 |
Center | Ordinal | Input | ||
| ses | Numeric |
3 |
0 |
Socioeconomic Status | None | None |
8 |
Center | Scale | Input | ||
| optimism | Numeric |
3 |
0 |
Optimism | None | None |
8 |
Center | Scale | Input | ||
| yrslived | Numeric |
3 |
0 |
Years Lived after Diagnosis | None | None |
8 |
Center | Scale | Input | ||
| DATA VIEW | ||||||||||||
| AGE | SES | OPTIMISM | YRSLIVED | |||||||||
|
30 |
5 |
55 |
10 |
|||||||||
|
20 |
6 |
77 |
18 |
|||||||||
|
24 |
3 |
60 |
11 |
|||||||||
|
39 |
4 |
40 |
14 |
|||||||||
|
40 |
1 |
40 |
15 |
|||||||||
|
22 |
6 |
80 |
20 |
|||||||||
|
32 |
5 |
49 |
13 |
|||||||||
|
38 |
2 |
52 |
15 |
|||||||||
|
20 |
4 |
50 |
10 |
|||||||||
|
24 |
6 |
53 |
11 |
|||||||||
|
26 |
7 |
65 |
12 |
|||||||||
|
30 |
7 |
60 |
15 |
|||||||||
|
30 |
4 |
55 |
10 |
|||||||||
|
32 |
2 |
42 |
12 |
|||||||||
|
37 |
6 |
82 |
17 |
|||||||||
|
38 |
6 |
70 |
11 |
|||||||||
|
30 |
5 |
50 |
14 |
|||||||||
|
21 |
6 |
67 |
14 |
|||||||||
|
27 |
7 |
70 |
15 |
|||||||||
|
29 |
4 |
50 |
14 |
|||||||||
|
30 |
4 |
44 |
13 |
|||||||||
|
21 |
6 |
70 |
12 |
|||||||||
|
22 |
3 |
47 |
11 |
|||||||||
|
28 |
7 |
51 |
7 |
|||||||||
|
31 |
5 |
55 |
11 |
|||||||||
|
20 |
4 |
48 |
12 |
|||||||||
|
34 |
6 |
43 |
9 |
|||||||||
|
26 |
7 |
55 |
12 |
|||||||||
|
40 |
7 |
43 |
15 |
|||||||||
|
20 |
7 |
52 |
13 |
|||||||||
|
32 |
2 |
41 |
5 |
|||||||||
|
33 |
5 |
42 |
11 |
|||||||||
|
38 |
1 |
43 |
7 |
|||||||||
|
33 |
2 |
41 |
2 |
|||||||||