The video tutorial explains how to calculate and plot residuals on a scatter plot. It begins by introducing the concept of residuals and the line of best fit. The tutorial then demonstrates how to calculate the expected y value using the line of best fit equation. Next, it shows how to find the residual by subtracting the expected value from the observed value. Finally, it explains how to plot the residual on a residual plot using the calculated values.

What is the main task described in the video regarding the scatter plot?

• Determining the correlation coefficient

• Calculating the mean of the data points

• Finding the slope of the line of best fit

• Plotting a residual for a given point

What is the x-value used for plotting the residual in the video?

• 5

• 4

• 3

• 2

How is the expected y-value calculated using the line of best fit?

• By dividing the x-value by the slope

• By multiplying the x-value by the slope and adding the y-intercept

• By adding the x-value to the y-intercept

• By subtracting the x-value from the y-intercept

What is the expected y-value for the point with x = 4?

• 12

• 13

• 15

• 14

How is the residual calculated in the video?

• By adding the observed and expected y-values

• By dividing the observed y-value by the expected y-value

• By multiplying the observed y-value by the expected y-value

• By subtracting the expected y-value from the observed y-value

What is the residual value for the point with observed y-value of 9?

• -6

• -5

• -4

• -3

What is the final coordinate pair for the residual plot?

• (4, -5)

• (4, -6)

• (4, -4)

• (4, -3)

What does the residual point represent on the residual plot?

• The product of the observed and expected y-values

• The sum of the observed and expected y-values

• The ratio of the observed to expected y-values

• The difference between the observed and expected y-values

Why is it important to plot residuals?

• To find the correlation coefficient

• To calculate the mean of the data points

• To determine the slope of the line of best fit

• To assess the accuracy of the line of best fit