CORRELATION AND REGRESSION ANALYSIS AS A METHOD FOR FORECASTING THE ECONOMIC DEVELOPMENT OF AN ENTERPRISE

Mualliflar

  • Qarshiboyev Xayrullo Qilichovich ##default.groups.name.author##
  • Nematov Javoxir Zoxidjon o’g’li ##default.groups.name.author##

##semicolon##

Key words: correlation and regression analysis, forecasting, random variables, effective sign.

Abstrak

Abstract: this article discusses correlation and regression analysis as a method of predicting the economic development of an enterprise. Calculation of correlation coefficients allows to determine the closeness and direction of the relationship between the studied indicators. Regression analysis is a natural continuation of correlation analysis and consists in determining the analytical expression of the relationship between the resulting value and factor indicators.

##submission.citations##

1. Gujarati, D. N., & Porter, D. C. (2009). Basic Econometrics (5th ed.). McGraw-Hill.

2. Wooldridge, J. M. (2016). Introductory Econometrics: A Modern Approach (6th ed.). Cengage Learning.

3. Maddala, G. S. (2001). Introduction to Econometrics (3rd ed.). Wiley.

4. Kmenta, J. (1986). Elements of Econometrics (2nd ed.). Macmillan Publishing Company.

5. Draper, N. R., & Smith, H. (1998). Applied Regression Analysis (3rd ed.). Wiley.

6. Anderson, D. R., Sweeney, D. J., & Williams, T. A. (2007). Statistics for Business and Economics (10th ed.). Cengage Learning.

7. Stock, J. H., & Watson, M. W. (2019). Introduction to Econometrics (4th ed.). Pearson.

8. Sweeney, J. L. (2007). Using Econometrics: A Practical Guide (5th ed.). Pearson.

9. Pindyck, R. S., & Rubinfeld, D. L. (2013). Microeconomics (8th ed.). Pearson Education.

10. Chatterjee, S., & Hadi, A. S. (2015). Regression Analysis by Example (5th ed.). Wiley.

Nashr qilingan

2024-11-22

##submission.howToCite##

CORRELATION AND REGRESSION ANALYSIS AS A METHOD FOR FORECASTING THE ECONOMIC DEVELOPMENT OF AN ENTERPRISE. (2024). ОБРАЗОВАНИЕ НАУКА И ИННОВАЦИОННЫЕ ИДЕИ В МИРЕ, 58(1), 68-74. https://scientific-jl.org/obr/article/view/3243