Summary of Preliminary Results of Socioeconomic Factors on Football Performance

To see a scatterplot of average computer points over the past 5 years vs. Median Household Income for each divsion, click here:

Scatterplots

Generally speaking, socioeconomic factors do appear to be significant predictors of football success for public schools in larger divisions. However, this importance decreases (and may even be disadvantageous) in smaller divisions.

Regression Results:

Division 1

 

Regression Statistics

Multiple R

0.367959

R Square

0.135394

Adjusted R Square

0.118605

Standard Error

6.683376

Observations

106

Coefficients

Standard Error

t Stat

Intercept

2.231281662

2.994660172

0.745087

MEDHHINC

0.000128298

4.61643E-05

2.779163

BOY

0.007329595

0.004024301

1.821334

In Division 1, Median Housedhold Income is a significant predictor of computer points. To give an idea of the importance, the difference between the wealthiest and poorest school by median household income is $85,495 (Hudson vs. Toledo Waite.) According to the regression, this income difference should account for 10.9689 average computer points. Cincinnati Colerain leads Div 1 over the past 5 years with an annual average computer point score of 31.90. By looking at these figures, it is obvious that poorer districts such as Waite, East Tech, Hughes, Shaw, Glenville (!) Lincoln West, and Withrow are at a great disadvantage to wealthier districts like Hudson, Coffman, Sycamore, Solon, the Lakotas, and Mason.

Divsion 2

Regression Statistics

Multiple R

0.429590197

R Square

0.184547737

Adjusted R Square

0.169161845

Standard Error

5.379288857

Observations

109

Coefficients

Standard Error

t Stat

Intercept

-1.446683254

3.42495305

-0.4224

MEDHHINC

0.00015701

3.98183E-05

3.943166

BOY

0.014046843

0.007697488

1.824861

The impact of wealth in Division 2 appears similar to the impact shown in Division 1. In Div 2, the difference between wealthiest and poorest is $70,317 (Lewis Center Olentangy vs. Cincinnati Taft.) This should account for  a difference of 11.04 average points per annum. In Division 2, the top per annum average points was by far and away Avon Lake with an average per year of 37.7. When one considers that second place point-generator was Dublin Scioto with 23.4, the importance of the socioeconomic factor is certainly displayed. The poorest districts in Division 2 were Taft, Chaney, Central-Hower, Franklin, Cleveland Hts, and Walnut Hills. The wealthiest in Div 2 were Olentangy, Sprinboro, Revere, Kings, Nordonia, and Loveland.

Division 3

Regression Statistics

Multiple R

0.238459332

R Square

0.056862853

Adjusted R Square

0.039067812

Standard Error

5.700799726

Observations

109

Coefficients

Standard Error

t Stat

Intercept

2.332544986

3.452366778

0.675636

MEDHHINC

8.77337E-05

5.18012E-05

1.693661

BOY

0.015272042

0.010046409

1.520149

The regression indicates that in this Division, median household income is not a significant predictor of football success.

Division 4

Regression Statistics

Multiple R

0.043230298

R Square

0.001868859

Adjusted R Square

-0.01770234

Standard Error

5.827155216

Observations

105

Coefficients

Standard Error

t Stat

Intercept

9.281145356

2.823656484

3.286924

MEDHHINC

5.89801E-06

4.75838E-05

0.12395

BOY

0.003751712

0.00945958

0.396604

The regression indicates that in this Division, median household income is not a significant predictor of football success.

Division 5

Regression Statistics

Multiple R

0.174441727

R Square

0.030429916

Adjusted R Square

0.011230508

Standard Error

4.579303051

Observations

104

Coefficients

Standard Error

t Stat

Intercept

5.781853435

2.57507344

2.245316

MEDHHINC

-1.50411E-05

5.10576E-05

-0.29459

BOY

0.023675491

0.013453678

1.759778

The regression indicates that in this Division, median household income is not a significant predictor of football success.

Division 6

Regression Statistics

Multiple R

0.136931279

R Square

0.018750175

Adjusted R Square

-0.002581343

Standard Error

4.335663244

Observations

95

Coefficients

Standard Error

t Stat

Intercept

4.161648698

2.452565533

1.696855

MEDHHINC

7.74918E-05

5.87408E-05

1.319217

BOY

6.37312E-06

0.004943348

0.001289

The regression indicates that in this Division, median household income is not a significant predictor of football success.

 

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