- #1
FallenApple
- 566
- 61
so say I suspect that there is a positive trend in the data from the scatter plot. Say the output y is continuous.
A linear regression would give me a possitive estimate of the slope. For a one unit increase in x, I would get a so and so increase in y.
I can also split the data for the y variable between high and low, dichotomizing it. And calculate the estimated increase in log odds for a one unit increase in x.
Is there even a point in doing so?
It seems like the question can be answered using linear regression.
I don't see the point in using logistic regression unless the output is necessarily binary (gender, political affiliation etc)
Even if we are interested in a output of,say,having high income vs low income, you can just have income as a continuous spectrum and use ols to get the answer.
Is there something I'm missing?
A linear regression would give me a possitive estimate of the slope. For a one unit increase in x, I would get a so and so increase in y.
I can also split the data for the y variable between high and low, dichotomizing it. And calculate the estimated increase in log odds for a one unit increase in x.
Is there even a point in doing so?
It seems like the question can be answered using linear regression.
I don't see the point in using logistic regression unless the output is necessarily binary (gender, political affiliation etc)
Even if we are interested in a output of,say,having high income vs low income, you can just have income as a continuous spectrum and use ols to get the answer.
Is there something I'm missing?