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:

=

47.28 or 47.2857143

step-by-step explanation:

you just divide 331 by 7 and you get that answer. ( i think so tho)

hm let me think hm think think hm think yes