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.

Respuesta :

Answer:

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:

[tex]Y = a + bX[/tex]

[tex]Y-bX = a[/tex]

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:

[tex]y = mx + c[/tex]

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.

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