The correlation matrix on the right is associated with a data set of 25 samples. Does this output indicate any potential multicollinearity problems with the analysis? y X₁ X₂ X3 Choose the correct answer below. OA. There is sufficient evidence of a possible multicollinearity problem with the data between x₂ and y. OB. There is not sufficient evidence of a possible multicollinearity problem with the data. OC. There is sufficient evidence of a possible multicollinearity problem with the data between x₂ and x₁ OD. There is sufficient evidence of a possible multicollinearity problem with the data between X and X₁. y -0.441 0.173 -0.173 X₁ 1 0.525 0.503 X₂ 0.362 X3 1

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Author:Amos Gilat
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The correlation matrix on the right is associated with a data set of 25 samples. Does this
output indicate any potential multicollinearity problems with the analysis?
Choose the correct answer below.
X₁
X2
X3
O A. There is sufficient evidence of a possible multicollinearity problem with the data between x₂ and y.
O B. There is not sufficient evidence of a possible multicollinearity problem with the data.
O C.
There is sufficient evidence of a possible multicollinearity problem with the data between x₂ and x₁-
O D.
There is sufficient evidence of a possible multicollinearity problem with the data between x3 and X₁-
y
-0.441
0.173
- 0.173
X₁
1
0.525
0.503
X₂
0.362
Q
X3
1
Transcribed Image Text:The correlation matrix on the right is associated with a data set of 25 samples. Does this output indicate any potential multicollinearity problems with the analysis? Choose the correct answer below. X₁ X2 X3 O A. There is sufficient evidence of a possible multicollinearity problem with the data between x₂ and y. O B. There is not sufficient evidence of a possible multicollinearity problem with the data. O C. There is sufficient evidence of a possible multicollinearity problem with the data between x₂ and x₁- O D. There is sufficient evidence of a possible multicollinearity problem with the data between x3 and X₁- y -0.441 0.173 - 0.173 X₁ 1 0.525 0.503 X₂ 0.362 Q X3 1
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