It depends on what sort of regression model you want. Do you want a 150-variable plane (which is basically a linear regression in 150 variables)?
I'm very new to regression and have a ton of data I want to analyse that I think would benefit from regression but I'm not sure how to apply it.
I have 1,000 sets of rankings all 1 to 100. Each ranking has 150 variables explaining it. I want to create a model that models what is happening in all the sets of rankings.
I presume you can do a regression taking the rankings as values and the 150 variables for each ranking as explanatory variables? If so, how do I create a model that represents what is happening across all the sets?
I have completed a correlation study, by getting the correlation coefficient of each variable for each set and getting the average across the 1,000 sets.
Is there a way using regression to create an accurate model that models the rankings seen in the 1,000 sets?
Thanks in advance for your help
Thanks yes a multi-variable regression would work if each rank was worth the same amount in each set of ranks. Unfortunately a #1 ranking in one set of ranks is not worth the same as a #1 ranking in the next set of rankings. This is due to the fact that there is varied competition for a #1 ranking across each set of ranks. Unfortunately I can think of no way to normalise the ranks into values that could be used in multi-variable regression, is there another way I can go about this?