- Arts & Culture 5937
- Business & Economics 689
- Computers 310
- Dictionaries & Encyclopedias 81
- Education & Science 75850
- Abstracts 252
- Astrology 4
- Astronomy 1
- Biology 8
- Chemistry 2221
- Coursework 15546
- Culture 9
- Diplomas 411
- Drawings 574
- Ecology 5
- Economy 83
- English 75
- Ethics, Aesthetics 3
- For Education Students 17607
- Foreign Languages 11
- Geography 2
- Geology 1
- History 89
- Maps & Atlases 5
- Mathematics 13855
- Musical Literature 2
- Pedagogics 19
- Philosophy 23
- Physics 14834
- Political Science 5
- Practical Work 101
- Psychology 60
- Religion 4
- Russian and culture of speech 8
- School Textbooks 7
- Sexology 42
- Sociology 9
- Summaries, Cribs 87
- Test Answers 150
- Tests 9243
- Textbooks for Colleges and Universities 32
- Theses 24
- To Help Graduate Students 14
- To Help the Entrant 37
- Vetting 364
- Works 13
- Информатика 10
- Engineering 3058
- Fiction 696
- House, Family & Entertainment 107
- Law 132
- Website Promotion 71
Control Econometrics 1
Uploaded: 14.10.2023
Content: Контрольная Эконометрика 1.doc 98 kB
50 $ | the discount is | 20% |
25 $ | the discount is | 10% |
Product description
1. Find the parameters of the linear regression equation using the method of least squares (OLS).
2. Find the equation of linear regression, using the matrix method.
3. Calculate the correlation coefficient and evaluate the resulting regression equation.
4. Calculate the coefficient of determination and assess the quality of a selected regression equation, these.
5. Calculate the average approximation error.
6. Evaluate the statistical significance of linear regression using the F-test Fisher.
7. Assess the statistical significance of the parameters of the linear regression equation (a and b), and correlation coefficient using the Student t-test.
8. Construct confidence intervals for the parameters of the linear regression equation (a and b) where the significance level α = 0,05.
There are data on the ten factories one industry on the levels of power per work X (ths. KWh / h) and the level of productivity per worker per year Y (thous. Pcs. Ed.):
X 9,4 6,0 6,1 7,2 6,8 9,4 10,5 11,4 11.5 12,1
Y 2 7 4 5 6 5 7 8 9 8
Feedback
0Period | |||
1 month | 3 months | 12 months | |
0 | 0 | 0 | |
0 | 0 | 0 |