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1. Which of the following is the best definition of a parsimonious model? A. The model with the highest R^2 B. The model that includes all the predictors that your audience is interested in. C.The model with the most number of predictors. D.The simplest model with the highest predictive power. 2. A high correlation between two explanatory variables such that the two variables contribute redundant information to the model is known as A. adjusted R^2 B. homoscedasticity C. collinearity D. heteroscedasticity E. multiple correlation F. heterogeneity G. multiple interaction H. homogeneity
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