3.1 Describing Relationships
2.4 Daily Video 1: Explanatory and Response Variables and Scatterplots
2.4 Daily Video 2: Demonstrate how to describe a scatterplot
2.5 Daily Video 1: Using the correlation (r) to interpret a linear relationship
2.5 Daily Video 2: Difference between correlation and causation
2.6 Daily Video 1: Linear Regression model and predictions
2.6 Daily Video 2: Dangers of Extrapolation
2.7 Daily Video 1: Calculating and interpreting residuals; constructing a residual plot
2.7 Daily Video 2: Using residual plots to determine if a linear model is appropriate
3.2 Least-Squares Regression
2.8 Daily Video 1: Explanation of the LSRL
2.8 Daily Video 2: Interpreting slope and y-intercept of linear model
2.8 Daily Video 3: Interpreting the coefficient of determination and computer output for regression
2.9 Daily Video 1: Find and categorize influential points
Here are some instructional videos that you may find useful in this chapter.
Here is how to calculate these statistics from a data set.
This video will help you understand how to match the data to it's corresponding LSRL and r-squared. The idea is to analyze how an outlier effects the overall relationship of the LSRL and r-squared.
You can use your data in sheets to create the LSRL and r-squared value. If you'd rather use your calculator, you can. Just take a photo of your calculator screen for your project.
You can use your data in sheets to create a residual plot. If you'd rather use your calculator, you can. Just take a photo of your calculator screen for your project.