Consider the following set of dependent and independent variables. Using technology, check for the presence of multicollinearity. If multicollinearity is present, take the necessary steps to eliminate it. Select the correct choice and, if necessary, fill in the answer boxes to complete your choice. A) Eliminate the variable x(__), which has a VIF of (__). No more variables need to be eliminated. B) Eliminate the variable x(__), which has a VIF of (__). Then eliminate the variable x(__), which has a VIF of (__). C) No variables need to be eliminated. y 33 31 38 37 40 46 48 54 47 58 x1 53 55 55 58 57 61 66 70 89 71 x2 24 17 20 17 9 15 14 11 15 12 x3 7 16 10 13 19 18 24 21 28 30
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
Consider the following set of dependent and independent variables. Using technology, check for the presence of multicollinearity. If multicollinearity is present, take the necessary steps to eliminate it.
Select the correct choice and, if necessary, fill in the answer boxes to complete your choice.
A) Eliminate the variable x(__), which has a VIF of (__). No more variables need to be eliminated.
B) Eliminate the variable x(__), which has a VIF of (__). Then eliminate the variable x(__), which has a VIF of (__).
C) No variables need to be eliminated.
| y | 33 | 31 | 38 | 37 | 40 | 46 | 48 | 54 | 47 | 58 |
| x1 | 53 | 55 | 55 | 58 | 57 | 61 | 66 | 70 | 89 | 71 |
| x2 | 24 | 17 | 20 | 17 | 9 | 15 | 14 | 11 | 15 | 12 |
| x3 | 7 | 16 | 10 | 13 | 19 | 18 | 24 | 21 | 28 |
30 |
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