Which forecasting method considers several variables that are related to the variable being predicted? A. multiple regression B. simple regression C. exponential smoothing D. weighted moving average

The answer for this question is A.) multiple regression.

Step-by-step explanation:

The forecasting method that would be used for several variables that are related to the variable being predicted is a multiple regression.

With the multiple regression method we can predict the behavior of a single variable from one or more variables that are independent of each other.

The calculations are similar to that of simple regression but since there are more than one predictor, say n, then we have to calculate n + 1 regression weights.

The variable to be predicted, say Y, will be predicted by the following equation:

=

in the attachment.   i didn't see your choices.   the word which means there is choices.

step-by-step explanation:

(x,y)

x tells you how much left or right you go from the origin

y tells you how much down or up you go from the origin

so for example (-3,2), you go left 3 and up twice. i denoted which of the ordered pairs is which in my graph.

a: inscribed angles

step-by-step explanation:

i reviewed this question with a peer and teacher, seems to be correct, me later