Fit a linear function to a scatter plot

What you'll learn

1. Confirm that a scatter plot suggests a linear association before fitting a line
2. Estimate a line of fit by eye, balancing points above and below the line
3. Find the equation of a fitted line both by an informal two-point method and by technology least-squares regression
4. Use a fitted line equation to make predictions, understanding it as a trend summary that need not pass through every point

Prerequisites

• Represent data on two quantitative variables with scatter plots
• Fit a function to data