The variables I analyzed for my correlation data were shooting footwork and dribbling. I wanted to see these results because I wanted to see if there was a correlation between shooting and footwork. If I were a coach, I would want to see how these variables relate so I can see what can improve shooting scores since that is what makes your team win.
For my regression model, I wanted to see the effects that footwork would have on dribbling. I wanted to see these variables because I wanted to know that the relationship between them was and if there was one at all. Again, if I was a coach I would want to know what skills I should make my players improve on.
Variable Description
The measurement scale for shooting in the correlation analysis is a ratio score since it is quantitative and zero can be measured. The players had 5 spots to shot from and 2 points were awarded for each shot made and one point was awarded for each unsuccessful shot that hits the time. The final score is the total of the last 2 trials. The measurement for dribbling in the regression is also in a ratio scale since the players last 2 trials were timed and the sum of this was the player’s score on the test.
Results …show more content…
For dribbling the mean=17.2, standard deviation=2.1, and 66 players took this test. For footwork the mean= 19.0, standard deviation=2.5, and 66 players took this test. The mean was the average score and standard deviation helps us see the distribution of the