1/4z + 8 = 12
1/4z = 12 - 8
1/4z = 4
z = 4 / (1/4)
z = 4 * 4/1
z = 16 <===
==================
-3(2n + 1) + 7 = -5
-6n - 3 + 7 = -5
-6n + 4 = -5
-6n = -5 - 4
-6n = -9
n = -9/-6
n = 3/2 <===
===================
2.5(t - 2) - 6 = 9
2.5t - 5 - 6 = 9
2.5t - 11 = 9
2.5t = 9 + 11
2.5t = 20
t = 20 / 2.5
t = 8 <===
Answer:
1/4
Step-by-step explanation:
Answer:
The answer is B - A high correlation between two or more independent variables.
Step-by-step explanation:
There are many factors that shows the possible presence of multicollinearity in a regression analysis. Multicollinearity occurs when independent variables in a regresssion model are correlated; the independent variables as their names implies is to be fully independent (on their own).
Based on the options; multicollinearity occurs when there is a high correlation between two or more independent variables.
Answer:
c
Step-by-step explanation:
i choose (c) because that the answer
Answer:The constant of proportionality is represented by x.
Hope this helps.
