nice work
cool analysis, although I may quibble that your conclusion is too broad given the analytical approach.
A better conclusion could be "the average NBA player is not a streak shooter" since it says nothing about any individual. You could hypothetically have a group of "streak shooters" (those having an positive slope on your graph) that is offset by others who are less likely to make the next shot after making one (negative slope, perhaps a "fatigue shooter" who is makes lower % as a game progresses?).
You could also get around the issue of only accounting for "pure streaks" -- a series of makes -- by correlating the % made on the nth shot to the percent made of the previous m shots. For example, correlate % made on 6th shot to % made on shots 1-5. May or may not add insights but might be interesting.
Again, thanks for crunching the numbers, your analysis is very interesting.
cool analysis, although I may quibble that your conclusion is too broad given the analytical approach.
A better conclusion could be "the average NBA player is not a streak shooter" since it says nothing about any individual. You could hypothetically have a group of "streak shooters" (those having an positive slope on your graph) that is offset by others who are less likely to make the next shot after making one (negative slope, perhaps a "fatigue shooter" who is makes lower % as a game progresses?).
You could also get around the issue of only accounting for "pure streaks" -- a series of makes -- by correlating the % made on the nth shot to the percent made of the previous m shots. For example, correlate % made on 6th shot to % made on shots 1-5. May or may not add insights but might be interesting.
Again, thanks for crunching the numbers, your analysis is very interesting.