1. Scatterplots and Correlation

• Recognizing positive, negative, and no correlation.
• Identifying patterns in data and their significance.
• Estimating a trend line (line of best fit).
• Calculating differences between actual and predicted values.

2. Regression Models

• Distinguishing between linear and nonlinear relationships.
• Recognizing quadratic and exponential trends.
• Using equations to estimate values (interpolation).
• Understanding the slope and intercept in context.
• Selecting the correct equation based on a graph (linear, quadratic, exponential).

3. Rate of Change and Extrapolation

• Identifying and interpreting the slope of a trend line.
• Predicting future trends using models.
• Finding intervals of greatest increase or decrease.
• Interpreting slope and y-intercept.

4. Real-World Applications

• Analyzing scientific and business data relationships (e.g., temperature vs. sales).
• Comparing data sets to choose the best model.
• Using residuals to assess model fit.
• Choosing a best-fit line that has values above and below, and a consistent distance from points.
• Interpreting data (e.g., identifying the year with the lowest sales).