n a linear regression model, the variable (or variables) used for predicting or explaining values of the response variable are known as

Independent variable or explanatory variables.

Step-by-step explanation:

this variable is referred to as the independent variable.

A linear regression equation is of the form

Y = B0 + B1X1 + u

Y is the depndent variable

X1 is the independent variable

With u as the error term.

The independent variable is used to explain changes in Y, which is the dependent variable. The independent or explanatory variable has a direct effect on the dependent variable. This means that as X1 changes, Y would also change in response to the changes in the independent variable.

step-by-step explanation:

quartic functions has x = –1 and x = –2 as its only two real zeroes:

f(x) = a(x+2)(x+1)   a: real number

check above link.

graphically?   well, you graph them both, the solutions is where they both intersect each other, since there are two solutions, meaning they will meet twice, or namely the linear will run into the quadratic curve twice, and where they meet, those x,y coordinates are the solutions to the system.