What are the various assumptions on which the multivariate regression analysis rests?
Multivariate regression analysis is a powerful statistical technique used to model and understand relationships between multiple independent variables and one dependent variable. The validity and reliability of the results from multivariate regression analysis rest on several key assumptions:
1. Linearity: This assumption posits that the relationship between each independent variable and the dependent variable is linear. In other words, changes in the dependent variable are proportional to changes in the independent variables. _____ __________ ________ __________ _________ ___ _______ __________.
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