Answer true or false to each of the following statements and explain your answers. a. The number of indicator variables required to represent the possible values of a qualitative predictor variable is one more than the number of possible values. b. If we take the regression equation relating the response variable y to a quantitative predictor variable x1 and indicator variables x2 and x3 to be y = β0 + β1x1 + β2x2 + β3x3, then we are assuming there is no interaction between x1 and the qualitative variable represented by x2 and x3. c. A cross-product term in a regression equation is often referred to as an interaction term.

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter5: A Survey Of Other Common Functions
Section5.6: Higher-degree Polynomials And Rational Functions
Problem 1TU: The following fictitious table shows kryptonite price, in dollar per gram, t years after 2006. t=...
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Answer true or false to each of the following statements and explain your answers.

a. The number of indicator variables required to represent the possible values of a qualitative predictor variable is one more than the number of possible values.

b. If we take the regression equation relating the response variable y to a quantitative predictor variable x1 and indicator variables x2 and x3 to be y = β0 + β1x1 + β2x2 + β3x3, then we are assuming there is no interaction between x1 and the qualitative variable represented by x2 and x3.

c. A cross-product term in a regression equation is often referred to as an interaction term.

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