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Identify the most appropriate analysis for a given research topic. |

Fully conduct the following statistical analyses: Two sample T-Test of means, ANOVA, Chi-squared test of Association, Correlation |

Use the least squares method to calculate an equation for a best fit line that describes the relationship between a continuous explanatory and continuous response variable |

Calculate and interpret estimates for the intercept and slope of regression models |

Use the regression equation to predict new values for Y given values of X |

Calculate and interpret confidence and prediction intervals for the slope value |

Visually assess assumptions of regression models |

# Modeling Bivariate Relationships

Identify and conduct the most appropriate analysis for a given research topic.

10/11 - 10/25

## Learning Path

### Where we’ve been

- Visually exploring relationships between two variables by creating appropriate plots to assess how the distribution of a primary outcome (response/dependent) variable changes according to the level of a predictor (explanatory/independent/covariate) variable.
- Learning how probability is used to make inferential statements about parameters

### Where we’re at

Ready to make some statistical statements about relationships between variables.

### Objectives

## Learning Materials

**Slides (Will open in full screen. Right click to open in a new tab)**

📚 **Reading**

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PMA6 Ch 6 |

PMA6 Ch 7 |

🎦 **Video**

Pre-recorded lectures from last year are available in Canvas. The slides are mostly the same, but this is dense content and so these videos give you a chance to review.

📝 **Collaborative notes**

## Assignments

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