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The accompanying data file contains 40 observations on the response variable y along with the predictor variables x₁ and x2. Use the holdout method to compare the predictability of the linear model with the exponential model using the first 30 observations for training and the remaining 10 observations for validation. Click here for the Excel Data File a-1. Use the training set to estimate Models 1 and 2. Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places. Predictor Variable Constant Model 1 (Linear) Model 2 (Exponential)

The accompanying data file contains 40 observations on the response variable y along with the predictor variables x₁ and x2. Use the holdout method to compare the predictability of the linear model with the exponential model using the first 30 observations for training and the remaining 10 observations for validation. Click here for the Excel Data File a-1. Use the training set to estimate Models 1 and 2. Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places. Predictor Variable Constant Model 1 (Linear) Model 2 (Exponential)

MATLAB: An Introduction with Applications
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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es The accompanying data file contains 40 observations on the response variable y along with the predictor variables x1 and x2. Use the holdout method to compare the predictability of the linear model with the exponential model using the first 30 observations for training and the remaining 10 observations for validation. Click here for the Excel Data File a-1. Use the training set to estimate Models 1 and 2. Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places. Predictor Variable Constant X1 X2 Model 1 (Linear) Model 2 (Exponential) a-2. Calculate the RMSE of the two models in the validation set. Note: Do not round intermediate calculations and round final answers to 2 decimal places. RMSE Model 1 (Linear) Model 2 (Exponential)
Transcribed Image Text:es The accompanying data file contains 40 observations on the response variable y along with the predictor variables x1 and x2. Use the holdout method to compare the predictability of the linear model with the exponential model using the first 30 observations for training and the remaining 10 observations for validation. Click here for the Excel Data File a-1. Use the training set to estimate Models 1 and 2. Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places. Predictor Variable Constant X1 X2 Model 1 (Linear) Model 2 (Exponential) a-2. Calculate the RMSE of the two models in the validation set. Note: Do not round intermediate calculations and round final answers to 2 decimal places. RMSE Model 1 (Linear) Model 2 (Exponential)
1 Home Insert Draw Page Layout H11 Paste 23456700 a x1 533.86 20 104.84 15 64.89 20 159.61 16 43.06 13 4.27 13 8 736.56 15 9 64.89 20 10 10.64 20 11 76.90 18 12 20.00 11 13 80.90 11 14 224.17 12 15 45.75 16 16 8.13 17 17 319.97 13 18 48.61 19 19 564.67 12 20 111.87 11 21 152.39 13 22 13.34 18 23 28.80 15 24 37.56 13 25 105.62 17 26 44.05 18 27 451.65 17 28 10.34 18 29 32.70 12 30 19.21 A Y 14 31 14.02 15 32 2.45 16 33 2.48 20 34 50.34 17 35 29.31 17 36 20.00 16 37 196.28 17 38 943.12 13 39 7.25 10 40 89.73 15 41 32.91 12 42 43 44 B Calibri (Body) I U B x2 30 20 23 21 16 13 30 23 22 20 13 16 19 25 17 30 25 27 25 24 14 22 15 26 21 28 21 13 12 16 12 15 21 20 12 29 30 12 25 18 fx C ▼ 11 D E Formulas A- A- Exercise_7.57 + Select destination and press ENTER or choose Paste F G Data Review H ab I ▼ E+ View J Acrobat Wrap Text ▾ → Merge & Center ▾ K Ch8_Q40_V14_Data_File (5) L General M % > N +.0 .00 .00 ➡.0 O # Conditional Format Formatting as Table P Q R Cell Styles S Insert ▾ Delete ▾ Format ▾ T U Σ V ▼ A.Q. Sort & Find & Filter Select V O Q Search Sheet W A I Create and Share Adobe PDF X + Share ✔ Y N + 100% AA
Transcribed Image Text:1 Home Insert Draw Page Layout H11 Paste 23456700 a x1 533.86 20 104.84 15 64.89 20 159.61 16 43.06 13 4.27 13 8 736.56 15 9 64.89 20 10 10.64 20 11 76.90 18 12 20.00 11 13 80.90 11 14 224.17 12 15 45.75 16 16 8.13 17 17 319.97 13 18 48.61 19 19 564.67 12 20 111.87 11 21 152.39 13 22 13.34 18 23 28.80 15 24 37.56 13 25 105.62 17 26 44.05 18 27 451.65 17 28 10.34 18 29 32.70 12 30 19.21 A Y 14 31 14.02 15 32 2.45 16 33 2.48 20 34 50.34 17 35 29.31 17 36 20.00 16 37 196.28 17 38 943.12 13 39 7.25 10 40 89.73 15 41 32.91 12 42 43 44 B Calibri (Body) I U B x2 30 20 23 21 16 13 30 23 22 20 13 16 19 25 17 30 25 27 25 24 14 22 15 26 21 28 21 13 12 16 12 15 21 20 12 29 30 12 25 18 fx C ▼ 11 D E Formulas A- A- Exercise_7.57 + Select destination and press ENTER or choose Paste F G Data Review H ab I ▼ E+ View J Acrobat Wrap Text ▾ → Merge & Center ▾ K Ch8_Q40_V14_Data_File (5) L General M % > N +.0 .00 .00 ➡.0 O # Conditional Format Formatting as Table P Q R Cell Styles S Insert ▾ Delete ▾ Format ▾ T U Σ V ▼ A.Q. Sort & Find & Filter Select V O Q Search Sheet W A I Create and Share Adobe PDF X + Share ✔ Y N + 100% AA
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