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Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
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How to interpret an insignificant intercept in a model with significant coefficients?
The estimated parameters are random variables and follow a certain distribution. Imagine that you make the hypothesis that the parameter you are interested in (intercept) is equal to zero. You can bui …
0
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1
answer
273
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Price elasticity of demand estimation with single store level data
I want to run a regression model (OLS) to capture the effect of changes of base price on sellout controlling for all the other exogenous factors. … I am thinking of running a regression using all the data from my point of sales but of course the higher the dimension and potential of a shop, the higher the sellout of that product. …