4(2) - 5 = 3
4(5) - 5 = 15
4(8) - 5 = 27
4(9) - 5 = 31
so the answers are 3, 15, 27, and 31
Answer: c
Step-by-step explanation:
You can notove that this form makes sense
If we replaxe a by -2 abd b by 7 we get the data modeled in the graph
No solution because you can’t even out both sides
Answer:it’s the third one
Step-by-step explanation:
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>
