Bigtenchamp
Well-Known Member
Marble in the zone atm - shhhhh don't get him out of it.
Horner was 27.7 as a frosh on 148 attempts! At least Marble had the decency to only shoot it 41 times as a frosh
Why are you limiting to integers only? When you look at a player's historical scoring average the data is usually not rounded to the nearest integer. Let's say a player's scoring averages by year are the following:That statement isn't really incorrect, especially if the data set is confined to integers only. The term growth would imply something getting larger, and double would imply a factor of 2. The first integer squared doesn't create growth (1^2=1). The next integer, 2, doubles when it is squared. So, in that sense, the statement you criticized is absolutely correct. It's the lowest integer that grows under an exponent (minimum) and it doubles.
Carry on.
Everything is pointing up for Marble, the only stats that are worse from last year are assists and turnovers per game. If he keeps improving like this perhaps an NBA team does take a chance on him after next season. But where would he play? Does he have the potential to play the 3 at the next level?
Why are you limiting to integers only? When you look at a player's historical scoring average the data is usually not rounded to the nearest integer. Let's say a player's scoring averages by year are the following:
1 - 10 ppg
2 - 14 ppg
3 - 19.6 ppg
4 - 27.4 ppg
That's exponential growth, and it's not at a minimum double.
CAAR, it means exactly what I think it means.
Marble's growth curve from freshman to sophomore was a steep curve to the good...this year so far, he is exceeding my growth estimates, so the curve is steeper than I thought it was.
Thanks for trying
Graph those 4 points in Excel and get back to me. It's exactly 40 PERCENT growth per year. When the % growth is constant (and not 0%) it cannot be linear growth.No, it's really not. It's linear growth.
Your point about 4 points being too small of a sample size is generally correct. But it's not a scatter plot. A scatter plot is a comparison of TWO variables. My example is a time series of 1 variable. Maybe you were characterizing it as a random walk series.4 data points doesn't show enough to make a definitive answer of linear or exponential or log or paraboli or any other type of growth. At best it is a scatter plot that you can try to fit some equation to so you can predict his senior season. But in the end it doesn't matter. His development is growing better than most people expected. And he has become the best weapon iowa has. Good for devyn and sad that we are arguing this.
Graph those 4 points in Excel and get back to me. It's exactly 40 PERCENT growth per year. When the % growth is constant (and not 0%) it cannot be linear growth.
Sorry for getting sidetracked in this thread, but some very poor math skills are showing up. IOWA2012, help me out.
I will bet you any amount of money you have.You really have no idea what you're talking about. I guarantee if you graph those points in excel, the best line fit will be linear. If you would like to place a wager on this I will go ahead and actually plot them.
Your point about 4 points being too small of a sample size is generally correct. But it's not a scatter plot. A scatter plot is a comparison of TWO variables. My example is a time series of 1 variable. Maybe you were characterizing it as a random walk series.
I really need to get a hobby.
Anyway, regarding Marble, he has the ability to drive and shoot the mid-range pull-up jumper. This is somewhat of a lost art that would be looked upon favorably by NBA scouts. He still needs to stay all 4 years at Iowa, though.
No, it's really not. It's linear growth.
You really have no idea what you're talking about. I guarantee if you graph those points in excel, the best line fit will be linear. If you would like to place a wager on this I will go ahead and actually plot them.
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This response sounds familiar....But amazingly, there's a formula that PERFECTLY fits the data: 10(1.4)^x where x = 0,1,2,and 3.
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I just did. You lose. It's not linear, as any child can see (and my 7-yr-old just did). It curves up, with the slope steeper each year.
A linear equation is of the form y=mx+b. Here x is the year, y is scoring. If you set m=4 and b=10 you get:
YEAR SCORING
0...... 10
1...... 14
2...... 18
3...... 22
Or you can set m=5.8 and b=10 so Marble's endpoints of 10 and 27.4 match, but now your middle years are off.
But amazingly, there's a formula that PERFECTLY fits the data: 10(1.4)^x where x = 0,1,2,and 3.
Not linear. Exponential. Conclusion: Jon is king of both sports and math.
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