Problem continued from previous page.
Sketch the scatterplot, and add a model of the data with an LSRL equation.
Describe the form, direction, and strength of the association.
Predict what Giulia's father should charge for a two-topping pizza.
Mark the residuals on the scatterplot. If you want to purchase an inexpensive
pizza, should you go to a store with a positive or negative residual?
What is the sum of the residuals? Are you surprised at this result?
Make a residual plot with your calculator, with the x-axis representing the
number of pizza toppings, and the y-axis representing the residuals. The
random scatter of the points on the residual plot (there does not appear to be any
kind of shape or pattern to the plotted points) means the model fits through the
data points well. That is, our LSRL linear model is appropriate.
a.
b.
C.
d.
e.