The general form of a regression equation is y = a + bx. in this equation, y is the score we wish to predict and x is the known score. what is "a"? it is a constant. it is a weighting adjustment factor that is multiplied by x. it is the slope of the line created with this equation. it is the difference between x and y.

Option A) It is a constant.

Step-by-step explanation:

We are given the following information in the question:

The general form of regression equation is:

where Y is the dependent variable and we want to predict the value of Y and X is the independent variable and the predictor.

If we compare the above equation with the point slope form:

where m is the slope of the line and c is the y-intercept.

We get,

Slope, m  = b

Y-intercept = a

Thus, a is the y-intercept that is the value of Y when X is 0.

It is a constant.

It can also be interpreted as the difference of Y and X when slope is 1.

entering that problem on the tube might get you an answer