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vazorg [7]
3 years ago
5

Which of the following would indicate the possible presence of multicollinearity in a regression analysis? a. A significant p-va

lue for a test of overall significance b. A high correlation between two or more independent variables c. A small value for the coefficient of determination d. All of these choices
Mathematics
1 answer:
Iteru [2.4K]3 years ago
6 0

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.

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Katherine wants to construct a small box with a volume of 20 cubic inches with the following specifications. The length of a box
pochemuha
V=LWH=20

L is 5 more than W
V=5+W

H is 1 less than W
H=-1+W

easy, sub 5+W for L and -1+W for H in LWH=V=20

20=(5+W)(W)(-1+W)
expand
20=W^3+4W^2-5W
minus 20 both sides
W^3+4W^2-5W-20=0
either factor or graph to find the possible values for W
(W+4)(W^2-5)=0
set each to zero

W+4=0
W=-4
impossible, measures cannot be negative
W^2-5=0
add 5
W^2=5
sqrt both sides
W=√5

sub back

L=5+W
L=5+√5
aprox
7.24 rounded

H=-1+W
H=-1+√5
aprox
1.24 rounded
the dimentions are
√5 by (5+√5) by (-1+√5) or aprox
2.24in by 7.24in by 1.24in
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3 years ago
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Allisa [31]

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Step-by-step explanation:

Since we have given that

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3 years ago
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Sindrei [870]

Answer:

Your answer is 1, look below please

Step-by-step explanation:

ASSUMING that the x is a variable your equation is -1x=3+4 which would be...

-1x=7, then divide by -1 which gives us -7

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