Timeline for R: remove outliers from boxplot or qq-plot?
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
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| Dec 14, 2020 at 15:41 | comment | added | Roland |
"I need to delete outliers" No, you don't. If Total_cost is your dependent variable, you most likely should transform it or use a GLM.
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| Dec 14, 2020 at 12:25 | comment | added | Ching | @Dave from the data I analyzed before, normally the models have at least 0.7 in R-squared. That's why I think 0.5 is a bit low. | |
| Dec 14, 2020 at 12:22 | comment | added | Dave | Why do you think your $R^2$ value is low? // It sounds like you have just one predictor (independent) variable. Please post a scatter plot of your data (assuming nothing is proprietary or otherwise confidential). | |
| Dec 14, 2020 at 12:21 | comment | added | Ching | @Dave Hi! The professor wants to know how we deal with outliers, and since the R-squared is not high (close to 1), I want to delete the outliers to see if the model can be more ideal. | |
| Dec 14, 2020 at 12:03 | comment | added | Dave | Why do you need to delete the outliers? // Why is $R^2\approx 0$ not good enough, because a $50\%$ is an $\text{F}$ grade in school? | |
| Dec 14, 2020 at 11:50 | history | asked | Ching | CC BY-SA 4.0 |