sorry if you feel I'm rude, really don't meant to do that. Please don't take it personal, I'm not against you, just against your way of analysis. And i need to emphasis, I only meant the analysis in this post, not others. I do like that you always think out of the box and try to explore different ways to look at the data. And the method of analysis is up for discussion.
OK. Thanks for your input. And, honestly, I don't have any issue with people correcting me on this stuff. I'm not a stats expert. I just don't understand how what I wrote reflects a fundamental misunderstanding on what correlation means. I tried to emphasize in the first post that there is a lot of factors that go into it and I'm not providing definitive answers.
I hate how I've studied engineering and tons of math, yet still have a limited knowledge of statistics. It wasn't in my degree plan
sorry to change topic, really amazed how you could include an excel sheet in the post. that is really neat. however, this analysis is paired analysis, thus the data set of same game score is related to the same game playing time and +/- etc/. It does not show how good the prediction for next or future play time, right? Unless you are trying to look at coaches' in game adjustment, which your analysis shown that pretty clearly, No correlation. :grin: Hopefully this could be a conclusion come out from your analysis exercise that both of us could agree on.
I didn't get it. Which conclusion do you think we can agree on? Can you rephrase? The sample size and correlation coefficients are so low that I'd hesitate to draw any actual conclusions. In the first post, I listed a number of factors which I think contribute to the variation in a player's minutes. The basic point was to see if any relationships could be teased out of the data to suggest that McHale has a shorter/longer leash on some players than others. For instance, the general vibe I get from the board is that people feel the coach "trusts" Lin less. Meaning, if he doesn't seem to be playing well individually or the team as a whole doesn't seem to be play as well with him, McHale is less inclined to give him the benefit of the doubt compared to, say, James Harden or maybe even Chandler Parsons. So, do the numbers provide a credence to this theory? What I find, and its by no means a comprehensive analysis, is the correlations appear to suggest that there might be something to it. And not just for Lin, but also for Douglas.
