## Description

Some commonly employed statistical analyses include correlation and regression. In this assignment, you will practice correlation and regression techniques from an SPSS data set.

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.
- Access the document, "Introduction to Statistical Analysis Using IBM SPSS Statistics, Student Guide" to complete the assignment.
- Download the file "Bank.sav" and open it with SPSS. Use the data to complete the assignment.
- Download the file "Census.sav" and open it with SPSS. Use the data to complete the assignment.

Directions:

Perform the following tasks to complete this assignment:

- Locate the data set "Bank.sav" and open it with SPSS. Follow the steps in section 10.15 Learning Activity as written. Answer questions 1-3 in the activity based on your observations of the SPSS output.Type your answers into a Word document. Copy and paste the full SPSS output including any supporting graphs and tables directly from SPSS into the Word document for submission to the instructor. The SPSS output must be submitted with the problem set answers in order to receive full credit for the assignment.
- Locate the data set "Census.sav" and open it with SPSS. Follow the steps in section 11.16 Learning Activity as written. Answer questions 1, 2, 3, and 5 in the activity based on your observations of the SPSS output. Type your answers into a Word document. Copy and paste the full SPSS output including any supporting graphs and tables directly from SPSS into the Word document for submission to the instructor. The SPSS output must be submitted with the problem set answers in order to receive full credit for the assignment.

BANK

Census

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## Explanation & Answer

Attached.

Running head: MODULE 5 PROBLEM SET

Learning Activity 10.15

1. Suppose you are interested in understanding how an employee’s demographic

characteristics, beginning salary and time at the bank and in the work force are

related to current salary. Start by producing scatterplots of salbe, sex, time, age,

edlevel, and work with salnow. Add a fit line to each plot. Check on the variable

labels for time and work so you understand what these variables are measuring.

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2. Describe the relationships based on the scatterplots. Do they all appear to be

linear? Are any relationships negative? What is the strongest relationship?

Chart 2: Beginning salary and current salary show a positive relationship with a

relatively steep slope of the fitted line, suggesting a strong relationship between the

two variables.

Chart 5: Job seniority and current salary show a positive linear relationship. The

relationship is however not very clear, because the values of Job seniority are almost

equally spreaded so that the fitted line does not have a significantly inclined slope.

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Chart 7: Age of employee and current salary show a negative linear relationship. The

relationship is 0.021 with a downward slope indicating that as age increases salary

decreases.

Chart 9: Educational level and current salary show a strong positive linear

relationship. The fitted line predicts better in lower levels of the educational level.

Chart 11: Work experience and current salary show a negative linear relationship.

The relationship is 0.009 with a downward slope indicating that as work experi...