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In statistics, regression analysis is a statistical process for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables (or 'predictors').

1 vote
1 answer
490 views

Which regression technique is used for calculating price elasticity in practice

to find causality, instrumental variable regression is used. … I mean corporations and governments use IV regression for price elasticity or do they use linear regression despite it's shortcomings in it's inablity to handle endogeneity? …
StatguyUser's user avatar
1 vote
1 answer
1k views

price elasticity: Linear regression low r square

I faced an interview question for a job where interviewer asked me suppose your r square is very low (between 5 to 10%) for a price elasticity model. How would you solve this question? Anything that …
StatguyUser's user avatar
1 vote
1 answer
1k views

Price elasticity when relationship between sales, price and other factors is not linear

For commercial deployment, price elasticity is calculated through linear regression which assumes that there is a linear relationship between price and sales. … To give a background, i have already read this Econometrics: Is elasticity meaningful in my, or any, regression? …
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