Horsepower/Liter vs Max RPM

It's clear that the higher the max RPM is more HP should follow. However, whats the relationship between HP/Liter and Max RPM? Below is a graph using EVO Data. I added whether the car was has some sort of forced induction or whether it was naturally aspirated.

From the graph there are two separate relationships for naturally aspirated engines and forced induction engines. Naturally aspirated engines have to rev much higher to achieve the same hp/liter ratio.  In addition the naturally aspirated observations have a much more linear relationship than forced induction counterparts.

With all thats being said about the death of manual transmissions and the increasing ubiquity of electric steering I'm surprised people aren't talking about takeover of forced induction engines over natural breathing. Higher revving engines can be more fun (as I claimed in my last post). And if turbos can't give us that same stratospheric rev range that natural aspiration can do, should we shun the take over of the turbo as well?

Rough Draft: Is Easy, Abundant Torque Boring?

EVO Data. Are High Torque Cars Boring?

Here is rough Draft of what I'm working on. Are Torquey Engines Boring? using EVO data

Rough Draft:
https://docs.google.com/file/d/0B9nc4zDDl2T-QVZQRnZETFh2eGc/edit?usp=sharing

Better Graph:

https://docs.google.com/file/d/0B9nc4zDDl2T-NG5KVzZ5UFd4V2s/edit?usp=sharing

R Code:

https://docs.google.com/file/d/0B9nc4zDDl2T-SmVzS2NheDlyem8/edit?usp=sharing

Data:
https://docs.google.com/file/d/0B9nc4zDDl2T-WFM2TlhTUFBCTzg/edit?usp=sharing

Passing 18th and 21st Amendment State by State

https://docs.google.com/file/d/0B9nc4zDDl2T-YlB0VkZqVW1mYkE/edit?usp=sharing

Green means dry / Red means Wet

FDIC Failed Bank List Continued...

How much money has the FDIC lost through time? The failed bank list (here) has an estimated loss for when a bank failed or assistance was required. However, of the 4353 observations in the data (My Data in CSV) about 1612 have NA's for Estimated Loss. Fortunately these observations have Total Deposits and Total Assets. Below is a scatterplot of log(Estimated loss) on log(Total Deposits) for the complete observations. (Total Deposits has a slightly stronger relationship with Estimated Loss then Total Assets so I will use it for the analysis.)

There is a strong relationship between Estimated Loss and Total Deposits. However, there are several large deposit values that correspond to a zero loss for the FDIC. Since these observations are randomly located throughout the US and are in different time periods I'm assuming that there is nothing special about these points. (Hopefully they were entered in correctly and the zero values shouldn't NA's). Therefore, using this data the fitted values of the regression is:

Log(Estimated Loss) = -0.06  + 0.852* log(Total. Deposits) + Error

                                       (.18)      (.016)

RSE = 1.26

R^2=.54 

From this regression I impute the values that are NA for Estimated Loss (there were 35 values that had no Deposit information so they are excluded). Below is the graphs through time of FDIC losses, log losses, and number of troubled banks.

One sees most losses are in late 1980's and lat 2000's. Surprisingly, There were no losses in 2005 and 2006. Since this period is right before the 'great recession' it perhaps shows a "This time is different mentality".

Next post I'll compare the $ value FDIC Loss with the $ value of checkable and time deposits. This should compare the actual losses of the FDIC with the potential liabilities of the FDIC.

FDIC Failed Banks

Link to Video

I used data from FDIC (from FDIC site) Failures and Assistance Transactions from 1934 through 2012.   I then found the coordinates and graphed them in R. The result is a by quarter movie of where and when a bank failed or assistance was needed from FDIC.

No real findings here. I couldn't really see anything extraordinary from locations. However, I do like when the 1980's come along and all the FSLIC  banks (which is included in data) go under and the entire country blows up. Similar results happen late 2000's.

FDIC Failed Banks

https://docs.google.com/file/d/0B9nc4zDDl2T-WEkzSGJsOG5MTjg/edit?usp=sharing