Probit vs. Logit? Need quick examples to remember! its, determine, remember, examples

Matori

I’ll provide some for time series vs. multiple regression. But I need
Time series: Autoregressive (rely on its own past), x-variable values are simply progressions in time (1..2..3..etc) stuck to a trend coefficient.
Examples: Sales levels are determine by their own lagged values. y = 4 + 0.09x (x=1,2,3..etc)
Multiple regression: Multiple, unique traits as x-variables.
Example: Sales levels are determined by GDP growth, population growth in the area over time.
Multiple regression uses unique variables over time, time series uses the y-variable as its independent variable, or just an arbitrary slope coefficient with no economic name of meaning.
Please correct me if wrong, and contribute!

former

What does this have to do with Probit and Logit models? They are QUALITATIVE models, while the models/examples you described above are QUANTITATIVE.

thommo77

Uh calm down…thought I’d just provide some other examples for people concerning time series and regression. But I would like an easy way to remember probit/logit, other than just sort of knowing they help predict bankruptcy/rank observations/are “discriminant” models.
Thanks!