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Probit vs. Logit? Need quick examples to remember!
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! |
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