Calculate these relationships in red (1,2,3,4 ) for this data Months Actual values Forecastingvalues123.45678138136152127151130119153ال ۱۸۰۱150.25139.50157.25143.50138.00127.50138.25141.50Tell11 The mean of error (ME) is defined by,1 In= = = ([^² e) = = = [₁==nn1ΜΕThe Mean Absolute Error or MAE is defined by,MAE =1-n1==13 Mean Squared Error or MSE is defined by,importantMSEn(True values - Predicted values).Σ-Σ[leel) == "True values – Predicted values].nΣ₁ (₁²) =1nn(True values – Predicted values)².The Root Mean Squared Error or RMSE is defined by,

The mean of error (ME) is defined by, 1 n =/([^² e) = = = [₁ (True values Predicted values). n n 1 The Mean Absolute Error or MAE is defined by, ΜΕ == MAE 1 == MSE n in n Σleel) ==|True values - Predicted values. 1 n 1 3 Mean Squared Error or MSE is defined by, tant In n == 1/2 [ ^ (e₁²) = =-=["( n n (True values - Predicted values)²

The mean of error (ME) is defined by, 1 n =/([^² e) = = = [₁ (True values Predicted values). n n 1 The Mean Absolute Error or MAE is defined by, ΜΕ == MAE 1 == MSE n in n Σleel) ==|True values - Predicted values. 1 n 1 3 Mean Squared Error or MSE is defined by, tant In n == 1/2 [ ^ (e₁²) = =-=["( n n (True values - Predicted values)²

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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