Answer the following questions) using exponential smoothing after having optimized α at 0.1 increments.
-Which of the following is the value of the root mean square error for the given data?
A) 11.56
B) 21.77
C) 13.87
D) 20.13

Question

Quizplus · Accepted Answer

The root mean square error (RMSE) is a measure of the differences between values predicted by a model and the values actually observed. The given options suggest a scenario where exponential smoothing is used for forecasting, and the smoothing constant α has been optimized in increments of 0.1. Without the specific data and without performing the calculations directly, it's impossible to calculate the exact RMSE value. However, the correct answer is identified as B) 21.77, implying that in the context of the question, this value represents the RMSE after optimizing α and applying exponential smoothing to the given data set.

Answer the Following Questions) Using Exponential Smoothing After Having Optimized