This problem set introduces you to the use of SPSS for analyzing data with multiple predictor variables and one continuous scale

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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:

  1. Conduct necessary analyses using SPSS so you can answer the questions listed in the exercise.
  2. Submit your responses to the exercise questions as a Word document.
  3. Submit the SPSS Output files showing the analyses you performed in SPSS to compute the answers for related questions.

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    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