Regression analysis

PARMINDER SINGH M.PHIL DEPARTMENT OF COMMERCE

CONCEPT AND INTRODUCTION OF REGRESSION ANALYSIS TYPES OF REGRESSION ANALYSIS USES OF REGRESSION ANALYSIS MODELS OF REGRESSION ANALYSIS REGRESSION WITH SPSS REGRESSION SOFTWARES

REGRESSION ANALYSIS AND MODELING

Regression analysis is the measure of average relationship between two or more variables : M.M. BLAIR

Regression analysis measures the nature and extent of the relations between two or more variables, thus enables us to make prediction. HIRSH

MEANING

TWO OR MORE VARIABLES HAVING RELATIONSHIP AND ASSOCIATION DEPENDENT AND INDEPENDENT VARIABLES CAUSE AND EFFECT RELATIONSHIP ESTIMATION AND PREDICTION

SIMPLE AND MULTIPLE REGRESSION LINEAR AND CURVI LINEAR PARTIAL AND TOTAL REGRESSION STEPWISE REGRESSION

TYPES OF REGRESSION

DEGREE OF REGRESSION

NATURE OF RELATIONSHIP PREDICTION AND ESTIMATION BUSINESS RESEARCH USEFUL FOR SOCIAL SCIENCE RESEARCH

UTILITY OF REGRESSION ANALYSIS

SIMPLE REGRESSION MODEL :

y = a+bx+e

here one independent and dependent variables

MULTIPLE REGRESSION MODEL :

y = a+b’x’+b2x2+bnxn+e

Here more than two variables in which one is dependent and others are independent variables

REGRESSION MODELS

Here mathematical equation is formed to predict the value of unknown variable from given known variables

Least square method is mostly used model and method of regression analysis

LEAST SQUARE METHOD

R (-1 < 0< +1 ) R SQUARE RESIDUAL ERROR (E) REGRESSION LINE

REGRESSION TERMINOLOGY

SPSS WITH REGRESSION

REGRESSION WITH EXCEL

SAS MINITAB REGRESSION PLUS SPSS MICROSOFT EXCEL

REGRESSION SOFTWARES

CONCLUSION

MARKETING RESEARCH ( NARESH MALHOTRA AND DASS) MARKETING RESEARCH ( HAIR AND BUSH) STATISTICS FOR MANAGEMENT (R.P. HOODA) STATISTICS ( STEINBERG ) FUNDAMENTALS OF STATISTICS ( SPRIEGAL AND STEPHEN ) BUSINESS STATISTICS ( SRIVASTAVA AND REGO ) WWW.YOUTUBE .COM /SPSS/REGRESSION WWW.DELL CORPORATION.IN /TYPES OF REGRESSION WWW.SPSS FOR BEGINERS

REFERENCES

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