Statistics Assignment

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statistics_assignment-bivariate-linear-regression.docx

Statistics Assignment

Instructions:

Bivariate Correlation and Simple Linear Regression Using SPSS Conduct a correlation analysis with the following variables:

- Socioeconomic Status (1-7 with higher values indicating higher levels of SES)

- Age

- Optimism (1-100 with higher scores indicating greater levels)

Requirements

· SPSS software required (version 19 or later).  Log and tables must be submitted with assignment

· Each response must contain a detailed written explanation (at least 4-6 sentences) along with the correct answer. Please note that some answers may require more than 4-6 sentences depending on the complexity of the analysis for the answer. Yes/No answers are not sufficient.

· There may be several different sub-analyses required in order to complete the entire analytic procedure

· If there is a significant interaction effect, all possible simple effects must also be conducted 

· The results section should conform to generally accepted formatting for statistical results analysis. Example provided

· Must be plagiarism free

· Delivery document should be in a Microsoft Word format using APA style for citing references

 

***Please note that the data7.txt file is really a .sav file.  The site would not allow me to upload the .sav file type**

Assignment

1. Which pair of variables achieved the greatest correlation coefficient?

2. As age increases, optimism increases or decreases?

3. What is the R and R Square for the simple regression?

4. For every unit increase in age what is the unit change in optimism?

5. What are TWO interpretations of the correlation coefficient?

6. Compose a Results section for this simple regression.

Example results section: