CASTI-89 TITANIUM · CALC89
ExpReg
Fits an exponential model y=a·b^x to data with least squares regression. The results are stored in stat variables such as stat.RegEqn.
Syntax
ExpReg X,Y[,[Freq][,Category,Include]]
- Group
- Statistics
- Arguments
- Takes the x list, the y list and optional frequency, category and include lists.
- Availability
- Included
- Menu path
- MATH ▸ Statistics ▸ CALC ▸ ExpReg
Example
| Input | Result |
|---|---|
| ExpReg {0,1,2,3},{3,6,12,24}:stat.RegEqn | 3.0·2.0^x |
Typing ExpReg {0,1,2,3},{3,6,12,24}:stat.RegEqn on the home screen and pressing ENTER returns 3.0·2.0^x.
Keystrokes on the TI-89 Titanium
2NDMATH6▶▼×11ENTER
The same key sequence inserts ExpReg in Calc89, and the AI tutor shows it step by step on the on-screen keypad.
Related commands
- FTest_2SampPerforms a two sample F test that compares the variances of two populations.
- LinRegBxFits a line y=a+b·x to data with least squares regression.
- LinRegMxFits a line y=m·x+b to data with least squares regression.
- LinRegtIntervalsComputes confidence intervals for a linear regression, for the slope or for a predicted response.
- LinRegtTestPerforms a t test on the slope of a linear regression and the correlation of the data.
- LnRegFits a logarithmic model y=a+b·ln(x) to data with least squares regression.
- LogisticFits a logistic growth model y=c/(1+a·ℯ^(−b·x)) to data.
- LogisticDFits a logistic model with an added constant d to data.