When analyzing the multiple regression model, the real estate builder should be concerned with Multicollinearity.
<h3 /><h3>What is Multicollinearity?</h3>
This is a phenomenon in regression analysis where some of the independent variables are correlated. This can present an issue because the correlation leads to less reliable results.
The income in this research is influenced by the education and they both influence family size. There is therefore an issue of multicollinearity here because some variables are correlated.
Find out more on Multicollinearity at brainly.com/question/16021902.
Multiply 12 by 37%.
12 × 0.37 = 4.44
B) at least 4
It could also be c... 4.44 is less than 8. But B is the closest answer to 4.44.
Step-by-step explanation:
W=N•D
W=(200)(1.3)
W= 260
Answer:
Please read the answers below that solve the crossword puzzle about linear equations. Tested and proved offline!
Step-by-step explanation:
Across:
2. V a r i a b l e
9. S o l v e
10. S u b t r a c t i o n p r o p e r t y (Two words)
Down:
1. M u l t i p l i c a t i o n p r o p e r t y (Two words)
3. A d d i t i o n p r o p e r t y (Two words)
4. L i n e a r
5. D i v i s i o n p r o p e r t y (Two words)
6. L i n e a r i n e q u a l i t y (Two words)
7. C o n s t a n t t e r m (Two words)
8. C o e f f i c i e n t
Answer:
C. The president rejects the hypothesis that the proportion of students who earn a bachelor's degree within six years is 0.398, when, in fact, the proportion is 0.398.
Step-by-step explanation:
A type I error occurs if you reject the null hypothesis when it is true.
Now the hypotheses are:

The proportion is 0.398

The proportion is less than 0.398
If in actual fact the proportion is 0.398, then the president must not reject the

.
This is a correct decision.
If in actual fact the proportion is 0.398, and the president rejects the

, then a type I error is committed.
The correct choice is C.