I have a population sample with 200 points of data and 3 degrees of freedom so am I supposed to do a chi square formula with all 200 points of data? I believe that is what I'm supposed to do but I'm getting extremely high chi squared values and they are not on the chart at all. So am I supposed to use 200 degrees of freedom then?
I'm comparing predicted values for how much money a stock will make using different inputs from a multiple regression formula to the actual values and I'm very lost as to what to do to show how effective my predictions are.
- Chi squared is only done for each input in a multiple regression formula or can I use it for the entire formula?
- Someone mentioned the anova table and I looked this up and this might work but it doesn't seem to be used for multiple regression. Is this what I need or if not then what do I use to calculate how effective my multiple regression formula predictions are?