Her correct change would be $2.75 cents, to get this answer, just subtract 12.42 from 15.17
Hope this helped you!! ( :
This can happen if you add another independent variable to your regression model that is strongly correlated to some other variable already in the model.
This is called multicollinearity.
If there is a high correlation between your independent variables can lead to problems.
<span>It can lead to increased variance of the coefficient estimates and make the estimates very sensitive to minor changes in the model.</span>
The table in Part A represents y as a function of x. This means that the value of Y is dependent on the value of X. The table can be represented by an equation that describes the relation of X and Y:

or

By substituting any value of X, you get a specific value of Y based from the given relationship, thus Y is a function of X.
For Part B, the value of f(150) is $470 and it represents the total cost for borrowing a rowboat for 150 hours. By substituting the value of x = 150 into the function, you get the total cost:
Answer: It’s C, “x+12=30; x=18 students”
Step-by-step explanation:
If Mr. Wilson has 12 more students than Mr. Star, whatever Mr. Star has (x) plus 12, should equal 30. That would make x, or the amount of students Mr. Star has, 18. This answer is included in option C.
Answer:
Step-by-step explanation: