Here is the information for the Calculation of TAS in F/O Seale's Log:
Column 1: R.A.S.
Column 2: Seale Height
Column 3: Seale Temp
Column 4: Seale TAS (Mph)
Column 5: Cave TAS (Calculated by Multivariate regression model: (TAS-RAS)/RAS = 0.02375 Height + 0.5985 (ln Temperature in degrees Kelvin) - 3.41581, Adjusted R2: 0.9963
170 8500 -8 192 191
170 8500 -8 192 191
170 8500 -8 192 191
170 8500 -8 192 191
170 8500 -8 192 191
170 8500 -8 192 191
158 13000 -20 190 190
160 15500 -26 200 200
160 15500 -26 200 200
165 15500 -26 206 206
165 15500 -26 206 206
165 15500 -26 206 206
180 15500 -26 225 225
195 15000 -25 242 242
200 8000 -11 222 221
195 5500 -6 208 207
180 9000 -9 204 204
200 5000 -2 214 211
180 2500 4 182 182
180 2500 4 182 182
180 2500 4 182 182
180 2500 4 182 182
180 2500 4 182 182
The Multivariate model comes very close to Seale's calculations, except for the record emphasized in bold. If someone has an E6B calculator, perhaps they could looked at this outlier. I want to point out my use of "ln Temperature in Degrees Kelvin" is because the relationship between Temperature and Height is clearly non-linear and you cannot take a log transform of a negative number, hence degrees Kelvin. The problem I have is I am using a regression model with Seale's data and results to back calculate Seale's results. It is a "circular" process and not statistically valid.
Thanks in advance for any help. Note I am still not allowed to post a photo, so you will have to wait to see a screen capture of Seales Log.
Jim