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>
Answer:
2.4 pounds of blueberries for each pie
Step-by-step explanation:
Mary has 12 pounds of blueberries to make 5 pies.
Divide 12 by 5 to see how much pounds of blueberries each pie will have.
There are 2.4 pounds of blueberries for each pie.
Answer:
C
Step-by-step explanation:
Since these lines have the same slope and different y-intercepts, they are parallel lines. As such lines do not intersect, we can say that :
The system has no solutions.
Answer:
Polynomial is the degree of the highest degree of polynomial form.
Number
0
is also called a polynomial and it has no degree
Answer:
12
12
12
You better explain this question or i am just going to keep writing 12
12
12
12
12
