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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