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

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In a general linear model, the term "linear" refers to the fact that the model is linear in the parameters $\beta$₀, $\beta$₁, ..., $\beta$_p, meaning each parameter is raised to the power of 1.

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

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