3. The following sample contains values of the price and quantity sold of a particular commodity. Use quantity sold as the dependent variable Y. Price (X) Quantity sold (Y) 6.00 3.00 7.00 1.00 2.00 8.00 53 67 48 76 Σx=27, Σy=342, Σ x²=163, Σ xy=1295, Σ y² = 21062, n = 6. d. Find the coefficient of determination and interpret. 0.916 and prediction accuracy is 91.6%. 0.916 and prediction accuracy is 8.4%. 70 28 0.957 and prediction accuracy is 95.7%. 0.957 and prediction accuracy is 4.3%.

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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3. The following sample contains values of the price and quantity sold of a particular
commodity. Use quantity sold as the dependent variable Y.
Price (X)
Quantity sold
(Y)
6.00 3.00 7.00 1.00
53 67 48
76
0.916 and prediction accuracy is 91.6%.
0.916 and prediction accuracy is 8.4%.
Σæ=27, Σ y=342, Σ m2 =163, Σ wy=1295, Σ υ = 21062, n = 6.
d. Find the coefficient of determination and interpret.
2.00 8.00
0.957 and prediction accuracy is 95.7%.
0.957 and prediction accuracy is 4.3%.
70
28
Transcribed Image Text:3. The following sample contains values of the price and quantity sold of a particular commodity. Use quantity sold as the dependent variable Y. Price (X) Quantity sold (Y) 6.00 3.00 7.00 1.00 53 67 48 76 0.916 and prediction accuracy is 91.6%. 0.916 and prediction accuracy is 8.4%. Σæ=27, Σ y=342, Σ m2 =163, Σ wy=1295, Σ υ = 21062, n = 6. d. Find the coefficient of determination and interpret. 2.00 8.00 0.957 and prediction accuracy is 95.7%. 0.957 and prediction accuracy is 4.3%. 70 28
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