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1. Create multiple linear regression equation y = a + b1x1 + b2x2 + ε in the matrix form, using OLS.
2. Construct a correlation matrix.
3. To assess the quality of the model by using the coefficient of determination R2.
According to industry participants, the following test results depending on the volume of output Y (mln. Rub.) On employment in the enterprise X1 (thou. Pers.) And the average annual value of fixed assets X2 (mln. Rub.):
№ p / n Y X1 X2
1 1.2 2.0 0.5
2 1.4 2.1 0.6
3 2.0 3.0 0.8
1.8 2.5 0.4 4
1.6 2.4 0.5 5
2. Construct a correlation matrix.
3. To assess the quality of the model by using the coefficient of determination R2.
According to industry participants, the following test results depending on the volume of output Y (mln. Rub.) On employment in the enterprise X1 (thou. Pers.) And the average annual value of fixed assets X2 (mln. Rub.):
№ p / n Y X1 X2
1 1.2 2.0 0.5
2 1.4 2.1 0.6
3 2.0 3.0 0.8
1.8 2.5 0.4 4
1.6 2.4 0.5 5
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- Content type File
- Content description 25,07 kB
- Added to the site 31.08.2015
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Control Econometrics 2
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Cumulative discount
| 50 $ | the discount is 20% |
| 25 $ | the discount is 10% |
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Cumulative discount
| 50 $ | the discount is 20% |
| 25 $ | the discount is 10% |
Check your discount
Amount of purchases from the seller: $
Your discount: %