Learning Objectives    

1. Make a scatterplot from data.

2. Describe and Interpret relationships between variables using scatterplots.

3. Estimate correlation from scatterplots.

4. Use technology to compute correlation.

5. Determine when correlation is statistically significant.

6. Identify when a linear relationship exists between variables

Learning Objectives    

1. Find and interpret the least-squares regression line as the line of “best fit”.

2. Describe and interpret the slope and intercept of the least-squares regression line.

3. Use the least-squares regression line to make predictions.

4. Understand when it is appropriate to use the least-squares regression line.

Learning Objectives    

1. Understand and interpret the “scope” of the least-squares regression line.

2. Describe, calculate, and interpret residuals.

3. Describe and interpret the Coefficient of Determination.

Learning Objectives    

1. Use and interpret scatterplots, correlation, significance, regression, predictions, residuals, and the coefficient of determination to analyze bivariate data.