In multiple regression analysis, the word "linear" in the term "general linear model" refers to the fact that A)$\beta$₀, $\beta$₁, . . . $\beta$_p, all have exponents of 0 B)$\beta$₀, $\beta$₁, . . . $\beta$_p, all have exponents of 1 C)$\beta$₀, $\beta$₁, . . . $\beta$_p, all have exponents of at least 1 D)$\beta$₀, $\beta$₁, . . . $\beta$_p, all have exponents of less than 1

Question

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In a general linear model, the term "linear" refers to the fact that the parameters (coefficients) $\beta$₀, $\beta$₁, . . . $\beta$_p are linear, meaning they have exponents of 1.

In Multiple Regression Analysis, the Word "Linear" in the Term β\betaβ

In Multiple Regression Analysis, the Word "Linear" in the Term $\beta$