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Originally Posted by Unregistered
Maybe I'm not getting this, but what exactly is so special about doing "regression analysis"? I use it on a daily basis and all it really involves is lining up variables and the associated data points followed by a few clicks on any statistical software which will provide you with all the relevant information & graphs.
I'm just a normal junior exec with a bachelor degree from Monash working in a medium size local consultancy and really don't see what is so fascinating about determining price points using regression. As long as the methodology is established (which I'm sure Neilsen is more than competent in this), it really isn't anything harder than fresh grad level accounting or financial reporting.
Neilsen's offering of 4k+ seems logical for any normal back office exec position with a few years experience, is the TS reading too much into a simple interview?
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Knowing how to click on statistical software is different from knowing how to use regression analysis.
Did u do any diagnostic tests to check for normality, multicollinearity, and homoscedasticity?
if the model failed any of the test, how do u proceed?
How do u choose the the independent variables? by experience? based on empirical result? stepwise or some other forms of selection process? Is the model variation in discrete selection process a concern? If so, should I use penalty regression instead?
And that is just the model building stage. There are many more other issues to take note of at the inference stage.