An economist wanted to investigate the factors that determined the price of petrol RON97. He gathered 17 months of data on the four variables below:Y = Price of petrol RON97 (RM/litre)X1 = Price of world oil (USD/barrel)X2 = Exchange rate (RM/USD)X3 = Quantity demand for petrol RON97 (million litre)The Excel results are shown as follows:ANOVAdfSSMSSignificance FRegressionResidual0.4670.06230.15632.7630.000130.005Total160.529Coefficients Standard Errort StatP-value0.0940.0000.003Intercept-1.1320.627-1.805X10.0210.0037.000X2-0.3340.092-3.630X30.0100.0071.4290.165(a) Determine the regression equation.(b) Determine the coefficient of determination, and interpret.(c) Which independent variables linearly related to the price of petrol RON 95 in this model? Explain.(d) Is the model valid? Explain.

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An economist wanted to investigate the factors that determined the price of petrol RON97. He gathered 17 months of data on the four variables below: Y = Price of petrol RON97 (RM/litre) X1 = Price of world oil (USD/barrel) X2 = Exchange rate (RM/USD) X3 = Quantity demand for petrol RON97 (million litre) The Excel results are shown as follows: ANOVA df Significance F 0.000 MS 0.467 Regression Residual 0.156 32.763 13 0.062 0.005 Total 16 0.529 Coefficients Standard Error t Stat p-value 0.094 0.000 0.003 Intercept -1.132 0.627 -1.805 X1 0.021 0.003 7.000 X2 -0.334 0.092 -3.630 X3 0.010 0.007 1.429 0.165 (a) Determine the regression equation. (b) Determine the coefficient of determination, and interpret. (c) Which independent variables linearly related to the price of petrol RON 95 in this model? Explain.

An economist wanted to investigate the factors that determined the price of petrol RON97. He gathered 17 months of data on the four variables below: Y = Price of petrol RON97 (RM/litre) X1 = Price of world oil (USD/barrel) X2 = Exchange rate (RM/USD) X3 = Quantity demand for petrol RON97 (million litre) The Excel results are shown as follows: ANOVA df Significance F 0.000 MS 0.467 Regression Residual 0.156 32.763 13 0.062 0.005 Total 16 0.529 Coefficients Standard Error t Stat p-value 0.094 0.000 0.003 Intercept -1.132 0.627 -1.805 X1 0.021 0.003 7.000 X2 -0.334 0.092 -3.630 X3 0.010 0.007 1.429 0.165 (a) Determine the regression equation. (b) Determine the coefficient of determination, and interpret. (c) Which independent variables linearly related to the price of petrol RON 95 in this model? Explain.

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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