Hi,
Im doing my final project for quanatative analysis class. I wastasked to create a regression analysis on Does the number ofprobowl player have bearing on becoming all pro. I ran theregression for the following data and got this output from Megastatbut I'm not sure what it tells me.
Regression Analysis | | | | | |
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| r² | 0.006 | n  | 239 | | |
| r  | 0.076 | k  | 1 | | |
| Std. Error  | 0.494 | Dep. Var. | All Pro | | |
| | | | | | |
ANOVAtable | | | | | | |
Source | SS  | df  | MS | F | p-value | |
Regression | 0.3397 | 1  | 0.3397 | 1.39 | .2392 | |
Residual | 57.8193 | 237  | 0.2440 | | | |
Total | 58.1590 | 238  | | | | |
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Regression output | | | | confidence interval |
variables | coefficients | std. error |   t (df=237) | p-value | 95% lower | 95% upper |
Intercept | -0.1681 | 0.4981 | -0.337 | .7361 | -1.1493 | 0.8131 |
Pro Bowl | 0.5840 | 0.4950 | 1.180 | .2392 | -0.3911 | 1.5591 |
Sum of Pro Bowl Count | Sum of All Pro Count |
240 | 101 |