PPT - Regression CA Foundation Notes | EduRev

Quantitative Aptitude for CA CPT

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CA Foundation : PPT - Regression CA Foundation Notes | EduRev

 Page 1


CPT Section D Quantitative Aptitude Chapter12 
CA.Dharmendra Gupta  
Page 2


CPT Section D Quantitative Aptitude Chapter12 
CA.Dharmendra Gupta  
Regression is the measure of 
average relationship between 
two or more variables in terms 
of original units of the data 
Page 3


CPT Section D Quantitative Aptitude Chapter12 
CA.Dharmendra Gupta  
Regression is the measure of 
average relationship between 
two or more variables in terms 
of original units of the data 
Regression analysis is a statistical tool 
to study the nature and extent of 
functional relationship between two or 
more variables and to estimate the 
unknown values of dependent variable. 
Page 4


CPT Section D Quantitative Aptitude Chapter12 
CA.Dharmendra Gupta  
Regression is the measure of 
average relationship between 
two or more variables in terms 
of original units of the data 
Regression analysis is a statistical tool 
to study the nature and extent of 
functional relationship between two or 
more variables and to estimate the 
unknown values of dependent variable. 
• The Variable Which is predicted 
on the basis of another variable 
is called  Dependent variable or 
explained variable  
Dependent 
variable : 
• :The Variable Which is used to  
predict another variable is called 
independent variable or 
explanatory variable   
Independent 
variable 
Page 5


CPT Section D Quantitative Aptitude Chapter12 
CA.Dharmendra Gupta  
Regression is the measure of 
average relationship between 
two or more variables in terms 
of original units of the data 
Regression analysis is a statistical tool 
to study the nature and extent of 
functional relationship between two or 
more variables and to estimate the 
unknown values of dependent variable. 
• The Variable Which is predicted 
on the basis of another variable 
is called  Dependent variable or 
explained variable  
Dependent 
variable : 
• :The Variable Which is used to  
predict another variable is called 
independent variable or 
explanatory variable   
Independent 
variable 
1.Regression line facilitates to predict the 
values of a dependent variable from the given 
value of independent variable. 
2.Through Standard Error facilitates to obtain 
a measure of the error involved in using the 
regression line as basis for estimation. 
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