The phrase "linear regression" pertains to regression models with normal equations that can be expressed in matrix form using linear algebra to determine coefficient estimates. A. True
B. False

TRUE ( A )

Step-by-step explanation:

linear regression represents/ models  the linear relationship between a dependent/scalar variable and an independent variable  or one or more independent variables

Linear regression pertains to regression models with normal equations because Linear regressions can be calculated using a linear equation/algebra

example : Y= a + bX

b. 24 mm

step-by-step explanation:

use the pythagorean theorem.

a^2 + b^2 = c^2

a^2 + 7^2 = 25^2

a^2 + 49 = 625

a^2 = 576

a = 24

answer: b. 24 mm