Timeline for How to capture & present lm model output from R
Current License: CC BY-SA 3.0
4 events
| when toggle format | what | by | license | comment | |
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| Jul 25, 2014 at 13:30 | comment | added | vagabond | Thanks Scott. Yes, I noticed it was 0.07 and started wondering if it is significant and I realized its about the scale and units or the impressions. For the sake of visual representation, can you tell me how I can scale the coef plot, so my intercept can be shown on y-axis? | |
| Jul 25, 2014 at 13:29 | vote | accept | vagabond | ||
| Jul 24, 2014 at 21:42 | comment | added | Scott Kaiser | Thanks for posting more info. Your coefficients aren't on the zero line; rather your intercept is estimated at 337 so the scale of the coefficient plot makes the coefficient for impressions look like zero. You can read the actual coefficient, 0.07, directly from the model output. The model is estimating that with no impressions, you'll get 337 leads; and that each additional impression will give you 0.07 more leads. The model is also giving you standard errors and p-values, which provide information around how good those estimates are.Try: plot(ImpressionsM, Leads.T) | |
| Jul 24, 2014 at 4:59 | history | answered | Scott Kaiser | CC BY-SA 3.0 |