MATH 321 Lecture Notes - Lecture 75: Hydrogen Sulfide, Dependent And Independent Variables
22 Jul 2019
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14. 3. 3 interpret the coefficients of a multiple regression equation (1 of 6) Interpret the regression coefficients for the least-squares regression equation found in parallel. 14. 3. 3 interpret the coefficients of a multiple regression equation (3 of 6) 14. 3. 3 interpret the coefficients of a multiple regression equation (4 of 6) If the mean value of the response variable y in a least- squares regression associated with a 1- unit change in an explanatory variable depends on a second explanatory variable, there is interaction between the two explanatory variables. When interaction exists between two explanatory variables, x1 and x2, we introduce a term with the variable x1x2 in the regression model as an explanatory variable. 14. 3. 3 interpret the coefficients of a multiple regression equation (5 of 6) An indicator (or dummy) variable is a qualitative explanatory variable in a multiple regression model that takes on the value 0 or 1. 14. 3. 3 interpret the coefficients of a multiple regression equation (6 of 6)
