Hi, Im doing my final project for quanatative analysis class. I was tasked to create a regression...

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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
rÂ² 0.006 nÂ Â 239
rÂ Â 0.076 kÂ Â 1
Std. ErrorÂ Â 0.494 Dep. Var. All Pro
ANOVAtable
Source SSÂ Â dfÂ Â MS F p-value
Regression 0.3397 1Â Â 0.3397 1.39 .2392
Residual 57.8193 237Â Â 0.2440
Total 58.1590 238Â Â
Regression output confidence interval
variables coefficients std. error Â Â 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

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The above results showed if the number of pro bowl players has a bearing on becoming all pro dependent variable being all pro and independent being number of pro bowl players Firstly the value of R2 which is the coefficient of determination shows the degree to which See Answer

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Regression Analysis

	rÂ²	0.006	nÂ Â	239
	rÂ Â	0.076	kÂ Â	1
	Std. ErrorÂ Â	0.494	Dep. Var.	All Pro

ANOVAtable
Source	SSÂ Â	dfÂ Â	MS	F	p-value
Regression	0.3397	1Â Â	0.3397	1.39	.2392
Residual	57.8193	237Â Â	0.2440
Total	58.1590	238Â Â


Regression output				confidence interval
variables	coefficients	std. error	Â Â 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