Fill in the blanks. a. If predictor variable x1 has VIF equal to 5, then _______ percent of the variation in the observed values of x1 is explained by the other predictor variables in the regression equation. b. If x1 and x2 are the only predictor variables in a regression equation and if the observed values of x1 and x2 have linear correlation coefficient equal to 0.7, then the VIF of x1 equals ________. c. A VIF of 10 indicates _______. multicollinearity.
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
Fill in the blanks.
a. If predictor variable x1 has VIF equal to 5, then _______ percent of the variation in the observed values of x1 is explained by the other predictor variables in the regression equation.
b. If x1 and x2 are the only predictor variables in a regression equation and if the observed values of x1 and x2 have linear
c. A VIF of 10 indicates _______. multicollinearity.
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