TOPIC: EVALUATION OF
INTERDEPENDENCE OF VARIABLES.
VALUE OF THE REGRESSION
EQUATION IN MULTIVARIATE
REGRESSION
INTRODUCTION TO MULTIVARIATE
REGRESSION
• IN TODAY'S WORLD, INFORMATION IS
EVERYWHERE AND IT CAN BE DIFFERENT.
DATA ANALYSIS IS THE APPLICATION OF
STATISTICAL AND LOGICAL METHODS TO
DESCRIBE AND VISUALIZE, REDUCE, REVISE,
SUMMARIZE,
AND EVALUATE DATA TO
PROVIDE A BETTER CONTEXT FOR THAT
DATA.
UNIVARIATE LINEAR REGRESSION
• SIMPLE LINEAR
REGRESSION IS A
REGRESSION MODEL THAT ESTIMATES THE
RELATIONSHIP BETWEEN A DEPENDENT
VARIABLE AND AN INDEPENDENT VARIABLE
USING A STRAIGHT LINE.
Y = AX + B
MULTIVARIATE LINEAR REGRESSION
• MULTIVARIATE REGRESSION IS AN
EXTENSION OF MULTIPLE REGRESSION
WITH ONE DEPENDENT
VARIABLE AND
MULTIPLE INDEPENDENT VARIABLES. WE
TRY TO PREDICT THE OUTPUT BASED ON
THE NUMBER OF INDEPENDENT
VARIABLES.
Y = AX+BZ+D OR Y =AX+BZ+…
REGRESSION ANALYSIS IS AN IMPORTANT
STATISTICAL TECHNIQUE THAT ALLOWS
YOU
TO EXAMINE THE RELATIONSHIP
BETWEEN TWO OR MORE VARIABLES IN A
SET OF DATA.REGRESSION ANALYSIS
ANSWERS THESE QUESTIONS:
• MA’LUMOTLARNING QAYSI BIRINI
E'TIBORSIZ QOLDIRISH MUMKIN?
ULAR BIR-BIRI BILAN QANDAY
ALOQADA?
• * BERILGAN MA’LUMOTLAR
QANCHALIK ISHONCHLI?