With reference to exponential forecasting models, a parameter that provides the weight given to the most recent time series value in the calculation of the forecast value is known as the

a. smoothing constant.
b. moving average.
c. regression coefficient.
d. mean forecast error.

A - smoothing constant

Step-by-step explanation: A smoothing constant is forecasting model, a parameter that provides the weight given to the most recent time series value in the calculation of the forecast value.

This smoothing constant determines how the historical time series values are weighted and it must have a value between 0 and 1.

There are three smoothing constants and they are: alpha, betta and gamma.

x = 10.1

step-by-step explanation:

all of the angles of a tirangle add up to 180º

180 - 65 = 115 (since we already know the value of one angle)

(2x + 7) + (8x + 7) = 115

(combins like terms) 10x + 14 = 115

(isolate the variable subtract 14 from both sides): 10x = 101

(find the variable divide both sides by 10): x = 101/10

x = 10.1

the answer is d. (1.2, -4.7) on edgn

hope this !