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Originally Posted by VideoReview
Regression of variable RESULTS:
Goodness of fit statistics:
Observations 144.000
Sum of weights 144.000
DF 141.000
Rē 0.088
Adjusted Rē 0.075
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My first question, which is really just curiosity, is do you think the quality of these results justify continuing to develop this model?
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This seems like a first step of a long journey.
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Regarding the above results, it appears to me that there is a good degree of correlation.
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You do not need to guess here. The correlation between the actual results and variable RESULTS is 0.297 as it is just the positive square root of R-squared. While 0.297 is sure noticeable enough and certainly can be used for forecasting I would venture a guess that linesmakers model produces much better results. Therefore, while you can make predictions that are much better than random you are currently unable to make predictions better than linesmakers do and therefore cannot beat the line with your model in its current state.