Answer:
Explained below.
Explanation:
The least square regression line is: Y = a + bX, where a = intercept (constant), b = slope co-efficient, X = dependent variable and Y = dependent variable.
The components of the least square regression line are the intercept and slope.
The least square regression line is used to predict the value of the dependent variables when the value of the independent variable is known.
In this case a least square regression line will be formed to determine the the number of pepperoni slices is related to the surface area of the pizza.