Answer: a. .7
Step-by-step explanation:
Multicollinearity means the two or more explanatory variables in a multiple regression model are highly linearly related to each other.
Multicollinearity is a problem because
- it weaken the statistical significance of an independent variable.
- Larger the standard error of a regression coefficient, the less likely it is that this coefficient will be statistically significant.
Multicollinearity may cause problems if the absolute value of the sample correlation coefficient for two of the independent variables exceeds 0.7.
So, the correct option is a. .7 .
Answer:
Add the two to get 1.002n
Step-by-step explanation:
n has a value of 1 so add the two values
X=25
4x-10=90
Add 10 to both sides
4x=100
Divide both sides by 4
-5(x – 3) = x + 27
multiply the bracket by -5
(-5)(x)=-5x
(-5)(-3)=15
-5x+15=x+27
Move +15 to the other side. Sign changes from +15 to -15.
-5x+15-15=x+27-15
-5x=x+27-15
-5x=x+12
Move +x to the other side. Sign changes from +x to -x.
-5x-x=x-x+12
-6x=12
Divide both sides by -6
-6x/-6=12/-6
Answer: x=-2
