Question: QUESTION 1 (2) Differentiate between multiple regression analysis and multiple discriminant analysis. QUESTION 2 (8) What is the importance of examining the assumptions of linearity

analysis. QUESTION 2 (8) What is the importance of examining the assumptions

QUESTION 1 (2) Differentiate between multiple regression analysis and multiple discriminant analysis. QUESTION 2 (8) What is the importance of examining the assumptions of linearity and homoscedastichen conducting regression analysis and what are the potential remedies for violations of each? QUESTION 3 (2) What is multicollinearity? QUESTION 4 (4) How does sample size impact statistical power and generalizability? QUESTION 5 (3) What are the three primary issues a statistical analyst should consider when selecting applications of multiple regression? QUESTION 6 (4) Justify the use of a split-sample approach for validating data in multiple discriminant analysis. QUESTION 7 (2) What are the assumptions of multiple discriminant analysis

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