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.
Answer:
it's option B the second one
Answer:
Add
Step-by-step explanation:
10.65*40=426
426+50=476
<span>-2i + (9 − 3i) − (6 − 10i)
-2i - 3i + 10i + 9 - 6
5i + 3
3 + 5i</span>
Answer:
18 ducks
Step-by-step explanation:
add the parts of the ratio 7 + 6 = 13
divide the total by 13 to find one part of the ratio
= 3 ← 1 part of the ratio
7 parts = 7 × 3 = 21 ← number of swans
6 parts = 6 × 3 = 18 ← number of ducks
