this presentation defines basics of regression analysis for students and scholars. uses, objectives, types of regression, use of spss for regression and various tools available in the market to calculate regression analysis
2. CONCEPT AND INTRODUCTION OF REGRESSION
ANALYSIS
TYPES OF REGRESSION ANALYSIS
USES OF REGRESSION ANALYSIS
MODELS OF REGRESSION ANALYSIS
REGRESSION WITH SPSS
REGRESSION SOFTWARES
3. 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
4. TWO OR MORE VARIABLES
HAVING RELATIONSHIP AND ASSOCIATION
DEPENDENT AND INDEPENDENT VARIABLES
CAUSE AND EFFECT RELATIONSHIP
ESTIMATION AND PREDICTION
5. SIMPLE AND MULTIPLE REGRESSION
LINEAR AND CURVI LINEAR
PARTIAL AND TOTAL REGRESSION
STEPWISE REGRESSION
6.
7. NATURE OF RELATIONSHIP
PREDICTION AND ESTIMATION
BUSINESS RESEARCH
USEFUL FOR SOCIAL SCIENCE RESEARCH
8. 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
9.
10. 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
11. R (-1 < 0< +1 )
R SQUARE
RESIDUAL ERROR (E)
REGRESSION LINE
16. 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