Finding the Best-Fit Line for Temperature Data

Question:
A data set records the average daily temperature in degrees Fahrenheit and the number of ice cream sales for 6 consecutive days. Day 1: 62 degrees, 18 sales. Day 2: 68 degrees, 35 sales. Day 3: 75 degrees, 52 sales. Day 4: 71 degrees, 45 sales. Day 5: 79 degrees, 68 sales. Day 6: 85 degrees, 81 sales. Part a: Create a scatter plot with temperature on the x-axis and sales on the y-axis. Part b: Draw a line of best fit and estimate its equation in slope-intercept form. Part c: Use your equation to predict ice cream sales when the temperature is 90 degrees Fahrenheit. Part d: Explain whether your prediction is reliable and why.

Finding the Best-Fit Line for Temperature Data

This lesson teaches students how to represent bivariate data on a scatter plot, draw and write the equation of a line of best fit in slope-intercept form, and use the equation to make predictions. Students al