Fbs???

[GOB1SON]

Well,

I guess I am bored today. So I put all the teams that made a bowl this year into a spreadsheet with the most current enrollment and endowment numbers (at least what I could find online, some of the endowments might be a year old, which makes a difference) and ranked them. As of this morning either UCLA or Army will play Temple in the Eagle Bank Bowl (if Army loses to Navy, then UCLA goes) so I included both teams. Keep in mind that the three military schools rank last with around 4500 per school (Navy and Air Force have both made bowls this year).

Enrollment:

1. Central Florida - 53537
2. TOSU - 52268
3. Rutgers - 52471
4. Minn - 50883
5. Texas - 50348

62. Stanford - 14945 (private)
63. Boston College - 14395 (private)
64. NDSU - 14186
65. Wyoming - 1301
66. UND - 13172
67. Idaho - 11636



Endowments: (I am not sure how accurate this is, most of it is off Wikipedia)

1. Texas - 16,100 M
2. Stanford - 12,000 M
3. TAMU - 6,700 M
4. Northwestern - 5,340 M
5. USC - 2,500 M

55. Nebraska - 191 M
56. UND - 179 M
57. Idaho - 176 M
58. East Carolina - 152 M
59. Northern Ill. - 150 M
60. NDSU - 138 M
61. Marshall - 118 M

I know it is a silly exercise, but like I said, I was bored. I also ran regression of wins on enrollment and endowment of the bowl teams, but it wasn't significant.

Analysis of Variance
Sum of Mean
Source DF Squares Square F Value Pr > F
Model 2 4.86256 2.43128 0.73 0.4844
Error 63 208.89502 3.31579
Corrected Total 65 213.75758
　
Root MSE 1.82093 R-Square 0.0227
Dependent Mean 8.39394 Adj R-Sq -0.0083
Coeff Var 21.69342
　
Parameter Estimates
Parameter Standard
Variable DF Estimate Error t Value Pr > |t|
Intercept 1 8.80680 0.62478 14.10 <.0001
ENDOW 1 0.00008855 0.00009016 0.98 0.3298
ENROLL 1 -0.00001837 0.00002057 -0.89 0.3753

OK, back to work.

[siouxdgj]

Well,

I guess I am bored today. So I put all the teams that made a bowl this year into a spreadsheet with the most current enrollment and endowment numbers (at least what I could find online, some of the endowments might be a year old, which makes a difference) and ranked them. As of this morning either UCLA or Army will play Temple in the Eagle Bank Bowl (if Army loses to Navy, then UCLA goes) so I included both teams. Keep in mind that the three military schools rank last with around 4500 per school (Navy and Air Force have both made bowls this year).

Enrollment:

1. Central Florida - 53537
2. TOSU - 52268
3. Rutgers - 52471
4. Minn - 50883
5. Texas - 50348

62. Stanford - 14945 (private)
63. Boston College - 14395 (private)
64. NDSU - 14186
65. Wyoming - 1301
66. UND - 13172
67. Idaho - 11636



Endowments: (I am not sure how accurate this is, most of it is off Wikipedia)

1. Texas - 16,100 M
2. Stanford - 12,000 M
3. TAMU - 6,700 M
4. Northwestern - 5,340 M
5. USC - 2,500 M

55. Nebraska - 191 M
56. UND - 179 M
57. Idaho - 176 M
58. East Carolina - 152 M
59. Northern Ill. - 150 M
60. NDSU - 138 M
61. Marshall - 118 M

I know it is a silly exercise, but like I said, I was bored. I also ran regression of wins on enrollment and endowment of the bowl teams, but it wasn't significant.

Analysis of Variance
Sum of Mean
Source DF Squares Square F Value Pr > F
Model 2 4.86256 2.43128 0.73 0.4844
Error 63 208.89502 3.31579
Corrected Total 65 213.75758
　
Root MSE 1.82093 R-Square 0.0227
Dependent Mean 8.39394 Adj R-Sq -0.0083
Coeff Var 21.69342
　
Parameter Estimates
Parameter Standard
Variable DF Estimate Error t Value Pr > |t|
Intercept 1 8.80680 0.62478 14.10 <.0001
ENDOW 1 0.00008855 0.00009016 0.98 0.3298
ENROLL 1 -0.00001837 0.00002057 -0.89 0.3753

OK, back to work.

I don't think this is a silly exercise at all. It's actually quite relevant in many respects. If nothing else, it's one measure (of many) of how schools stack up against each other. I also noted with a great deal of interest of how close to the national average students of the region compare in terms of accumulated debt, according to The Forum story. I think any way one looks at it the college students of this region are getting a bargain for the money invested in their education. Overall the work ethic of this region is at or very close to the top. No wonder recruiters from out of the area look to this part of the country to hire for their respective companies.

[lakesbison]

considering 64 teams make a bowl in FBS.

NDSU joining the MAC would put NDSU in the Motor City bowl about every 3 years. lets do this!!

[Facts]

Well,

I guess I am bored today. So I put all the teams that made a bowl this year into a spreadsheet with the most current enrollment and endowment numbers (at least what I could find online, some of the endowments might be a year old, which makes a difference) and ranked them. As of this morning either UCLA or Army will play Temple in the Eagle Bank Bowl (if Army loses to Navy, then UCLA goes) so I included both teams. Keep in mind that the three military schools rank last with around 4500 per school (Navy and Air Force have both made bowls this year).

Enrollment:

1. Central Florida - 53537
2. TOSU - 52268
3. Rutgers - 52471
4. Minn - 50883
5. Texas - 50348

62. Stanford - 14945 (private)
63. Boston College - 14395 (private)
64. NDSU - 14186
65. Wyoming - 1301
66. UND - 13172
67. Idaho - 11636



Endowments: (I am not sure how accurate this is, most of it is off Wikipedia)

1. Texas - 16,100 M
2. Stanford - 12,000 M
3. TAMU - 6,700 M
4. Northwestern - 5,340 M
5. USC - 2,500 M

55. Nebraska - 191 M
56. UND - 179 M
57. Idaho - 176 M
58. East Carolina - 152 M
59. Northern Ill. - 150 M
60. NDSU - 138 M
61. Marshall - 118 M

I know it is a silly exercise, but like I said, I was bored. I also ran regression of wins on enrollment and endowment of the bowl teams, but it wasn't significant.

Analysis of Variance
Sum of Mean
Source DF Squares Square F Value Pr > F
Model 2 4.86256 2.43128 0.73 0.4844
Error 63 208.89502 3.31579
Corrected Total 65 213.75758
　
Root MSE 1.82093 R-Square 0.0227
Dependent Mean 8.39394 Adj R-Sq -0.0083
Coeff Var 21.69342
　
Parameter Estimates
Parameter Standard
Variable DF Estimate Error t Value Pr > |t|
Intercept 1 8.80680 0.62478 14.10 <.0001
ENDOW 1 0.00008855 0.00009016 0.98 0.3298
ENROLL 1 -0.00001837 0.00002057 -0.89 0.3753

OK, back to work.

Nice job. Did you run the regression model with just wins vs. enrollment or wins vs. endowment? Also you could include the interaction of enrollment x endowment in the model to see what that shows. Again, well done.

[Bison bison]

GOB1SON,

You know just enough to be dangerous - either stop now or make this a career.

[GOB1SON]

I ran enrollment and endowment independent of each other and they each account for about 1% of the variation in wins amongst bowl teams this year.

I also ran simple and rank correlations between endowment, enrollment, and wins:

http://im1.shutterfly.com/media/47b9cc26b3127ccef89abc4d4d9800000030O00QZNGrRszbsQ e3nwU/cC/f%3D0/ps%3D50/r%3D0/rx%3D550/ry%3D400/

Not surprisingly, there is a slight correlation between enrollment and endowment, but no relationship between endowment and wins or enrollment and wins amongst bowl teams this year.

[Bison_Pride]

I made stick people doodles.

http://www.resurrectionsong.com/images/uploads/RunAway.jpg

[Tatanka]

I ran enrollment and endowment independent of each other and they each account for about 1% of the variation in wins amongst bowl teams this year.

I also ran simple and rank correlations between endowment, enrollment, and wins:

http://im1.shutterfly.com/media/47b9cc26b3127ccef89abc4d4d9800000030O00QZNGrRszbsQ e3nwU/cC/f%3D0/ps%3D50/r%3D0/rx%3D550/ry%3D400/

Not surprisingly, there is a slight correlation between enrollment and endowment, but no relationship between endowment and wins or enrollment and wins amongst bowl teams this year.

Dude. You are my hero. Seriously. This thread has now instantly raised the collective IQ of Bisonville, but most posters won't even know. They'll just chalk it up to correlation. :)

[bisonmike2]

I made stick people doodles.

http://www.resurrectionsong.com/images/uploads/RunAway.jpg

dude you are my hero because I was thinking along these same lines.

[WYOBISONMAN]

Good stuff......thanks for your work on this one!

[Bison bison]

Dude. You are my hero. Seriously. This thread has now instantly raised the collective IQ of Bisonville, but most posters won't even know. They'll just chalk it up to correlation. :)

God, I hope not. Bless GOB1SON's heart, but his model is bullsh#t.

There is a stronger statistical relationship between sunspots and Mark Mangino's weight than there is with the claptrap GOB just put together.

[Tatanka]

God, I hope not. Bless GOB1SON's heart, but his model is bullsh#t.

There is a stronger statistical relationship between sunspots and Mark Mangino's weight than there is with the claptrap GOB just put together.

Ahh, but you miss my point. You just said "stronger statistical relationship", and you actually analyzed the model before declaring it bovine waste product. Ergo, collective IQ raised.

QED

[tony]

Kind of interesting to compare NDSU to our Great Plains peers:

Nebraska: $191 million
Kansas State: $346 million
Iowa State: $569 million
Oklahoma State: $314 million

I remember reading from back in NDSU's D2 days from a non-sports guy that without big-time exposure, Kansas State would have the same visibility as North Dakota State. I wonder how much truth there is to that - apparently Chapman thought there was some correlation.

[GOB1SON]

God, I hope not. Bless GOB1SON's heart, but his model is bullsh#t.

There is a stronger statistical relationship between sunspots and Mark Mangino's weight than there is with the claptrap GOB just put together.

Why is my model BS?

I hypothesized that there would be a relationship between enrollment, funding, and wins in the 69 teams that made (including UCLA and Army) bowls this year.

I concluded that there is no relationship.

What was wrong with it?

[Scooter1]

God, I hope not. Bless GOB1SON's heart, but his model is bullsh#t.

There is a stronger statistical relationship between sunspots and Mark Mangino's weight than there is with the claptrap GOB just put together.

Ah, you may have something....

1 Mangino was born in 1956 and his weight has steadily increased...the number of observed sunspots have increased since 1956...Coincidence?!?!

2 as sunspots increase the polar icecaps have had an increase in the rate of melting...a Mangino's weight increases he also appears to melt on the sideline. Coincidence?!?

3 Sun spots have a twenty two year cycle...Mangino has a cycle that he hasn't used in twenty two years. Coincidence?!?

[Bison bison]

Why is my model BS?

I hypothesized that there would be a relationship between enrollment, funding, and wins in the 69 teams that made (including UCLA and Army) bowls this year.

I concluded that there is no relationship.

What was wrong with it?

1. It doesn't control for other factors.
2. It doesn't account for simultaneity between the variables.
3. There was no formal test.

QED

[CaBisonFan]

GOB1SON,

You know just enough to be dangerous - either stop now or make this a career.

He admitted that this wasn't a thorough study. What's the harm in having information? Do you know more than the information that was presented...or less. Is less preferable?

[GOB1SON]

1. It doesn't control for other factors.
2. It doesn't account for simultaneity between the variables.
3. There was no formal test.

QED

Now that's a big word.

I smell a grad student.

[Bison bison]

Now that's a big word.

I smell a grad student.

I eat grad students for breakfast.

[GOB1SON]

I eat grad students for breakfast.

:D :D :D :D :D :D :D :D :D :D

[Facts]

I eat grad students for breakfast.

Do you ever add alittle flax or barley in with that breakfast, for malt and omega-3's?

[KC Bison]

Ease up NDB2. This isn't stat class, econometrics class or whatever. It is an interesting little exercise, with conclusions that no one is going to take the bank. A little speculation on my part. It is the heavy endowment schools like the Ivy League schools have large endowments (like Harvard $26 Billion) and really don't care about athletics that much so not totally surprising that there is little or no correlation.

[Bison bison]

GOB1SON is a big boy with a sense of humor.

I do this stuff for a living, so I got a kick out of the analysis.

[TransAmBison]

GOB1SON is a big boy with a sense of humor.

I do this stuff for a living, so I got a kick out of the analysis.
Your an a$$ for a living? I guess you do what you are good at. :D

[Bison bison]

I prefer the title: professional cynic.