It's February, so I'm Trying to Find things to Post On. Therefore You're Going to Get Some Simple Regression Tests from the 2008 MLB Season.
The Major High Outlier: Texas with an WHIP of 1.51 and an ERA of 4.73
The Low Outlier: San Francisco with an WHIP of 1.29 and an ERA of 3.98
Formula: WHIP = 0.574305 + (0.189032) * ERA
ReFangled Formula: Wins = (WHIP - 1.837) / (-0.005525)
Fun Math Time
If you look at the chart you'll notice just how tightly coupled WHIP and ERA are. One is a very solid predictor of the other. So if you see your team has a dot below the line than you probably got a little unlucky and vice versa if the dot is above the line. So say I want the Yanks to have an ERA of 3.50 this year, what will their WHIP need to be? 1.235. On the opposite end of the spectrum, what if I think the Rangers are going to have a WHIP of 1.50, what will their ERA likely be? 4.90.
The Major High Outlier: Texas with an WHIP of 1.51 and an ERA of 4.73
The Low Outlier: San Francisco with an WHIP of 1.29 and an ERA of 3.98
Formula: WHIP = 0.574305 + (0.189032) * ERA
ReFangled Formula: Wins = (WHIP - 1.837) / (-0.005525)
Fun Math Time
If you look at the chart you'll notice just how tightly coupled WHIP and ERA are. One is a very solid predictor of the other. So if you see your team has a dot below the line than you probably got a little unlucky and vice versa if the dot is above the line. So say I want the Yanks to have an ERA of 3.50 this year, what will their WHIP need to be? 1.235. On the opposite end of the spectrum, what if I think the Rangers are going to have a WHIP of 1.50, what will their ERA likely be? 4.90.
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