Chapter 4B: Bivariate Correlation and Simple Linear ...
Bivariate Correlation and
Simple Linear Regression Using SPSS
Conduct a correlation matrix 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)
|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. |
|1. |Which pair of variables achieved the greatest correlation coefficient? |
| |SES AND OPTIMISM, r = .52. |
|2. |As age increases, optimism increases or decreases? |
| |DECREASES |
|3. |What is the R and R Square for the simple regression? |
| |.290 AND .084, RESPECTIVELY. |
|4. |For every unit increase in age what is the unit change in optimism? |
| |-.081 |
|5. |What are TWO interpretations of the correlation coefficient? |
| |1) The RELATIONSHIP BETWEEN THE IV AND DV and 2) The RELATIONSHIP BETWEEN THE OBSERVED DV SCORE AND the PREDICTED DV |
| |SCORE |
|6. |Compose a Results section for this simple regression. |
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