I have an assignment that I am needing assistance with and explanation f this particular statistics question. Attached is the instruction and SPSS is needed to complete this task

 

 

Problem set 7
Details: 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: Review "SPSS Access Instructions" for information on how to access SPSS for this
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. NOTE: You will need to copy the SPSS
file to a Word doc for submission. PSY 870: Module 7 Problem Set
Optimism and Longevity
A cancer specialist from the Los Angeles County General Hospital (LACGH) rated patient optimism in 20to 40-year-old male patients with incurable cancer in 1970. In 1990, the researcher examined hospital
records to gather the following data: Socioeconomic status (1–7 rating of occupation; higher ratings indicate higher levels of
SES) Age in 1970 Optimism in 1970 (1–100 rating, higher scores indicate higher levels of optimism) Longevity (years lived after the 1970 diagnosis) Using the SPSS data file for Module 7 (located in Topic Materials), calculate a simultaneous multiple
regression with SES, age, and optimism as the independent variables and longevity as the dependent
variable. 1. Do the independent variables correlate statistically significantly and practically with the
dependent variable?
2. Is collinearity between the independent variables a concern?
3. What is the R and adjusted R-square for all independent variables entered
simultaneously?
4. What variable(s) provide a significant unique contribution(s)?
5. Compose a results section for this statistical analysis.

Attachments:

• 1492944420-Problem set 7.docx