We have built a regression model that attempts to predict the height of an adult child based on both their mother's and father's heights. A friend of yours thinks it would be funny to try and predict the height of an adult child using a height of 10 feet tall for both the mother and the father. Which of the following terms is the name for the problem we would encounter if we were to do what your friend wants? a) Autocorrelation
b) Extrapolation
c) Heteroscedasticity
d) Multicollinearity

to plot points   for x just start at the origin (middle) and go to the left however many times it say(if the number is a positive) if the number is a negative then go right however many times it says if it is 0 go nowhere

now keep you pencil there and go up however many times it says on y(if it is positive) if it is negative then go down however many times it says. if it says 0 go nowhere.

you have just plotted a point! now when you finish plotting all of them connect them with a ruler

plot each point as (-3, 7), (0,4), (3,1), (8,-4)   in the parenthesis on the left of the comma is x and the right is y.

1. 2

2. 11

3. 5

4. 6

5. 7

6. 5

7. -1

8. 1

step-by-step explanation: