Timeline for Implementing linear regression with standardization
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
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| Aug 24, 2013 at 6:55 | history | edited | Nick Cox | CC BY-SA 3.0 |
added 1 characters in body
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| S Aug 23, 2013 at 23:25 | history | suggested | Comp_Warrior | CC BY-SA 3.0 |
Formatted question statement, and distinguished mentions of data sets for better readability
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| Aug 23, 2013 at 23:03 | review | Suggested edits | |||
| S Aug 23, 2013 at 23:25 | |||||
| Aug 23, 2013 at 22:58 | comment | added | Frank Harrell | It is very unclear why it is worth more than a few seconds of your time to deal with standardization. | |
| Aug 23, 2013 at 22:11 | comment | added | whuber♦ | "Normalization" typically means changing values to fall within a given range such as $0$ to $1$ or $0$% to $100$%. You describe standardization, which consists of a linear transformation making the mean equal to zero and the standard deviation equal to unity. | |
| Aug 23, 2013 at 22:10 | history | edited | whuber♦ | CC BY-SA 3.0 |
edited tags
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| Aug 23, 2013 at 22:09 | answer | added | whuber♦ | timeline score: 2 | |
| Aug 23, 2013 at 21:25 | history | asked | user34790 | CC BY-SA 3.0 |