Timeline for Statistical significance testing for multiple categorical variables: modeling coefficient of variation of temperature inside houses
Current License: CC BY-SA 4.0
7 events
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| Nov 18, 2018 at 9:04 | comment | added | Cairan Van Rooyen | Indeed a number of my variables are ordinal, not all catagorical, apologies for any confusion. So DBL_GLAZ, BUILDING_AGE, HhdSize and Inc_Group_7s are ordinal | |
| Nov 11, 2018 at 20:11 | history | edited | kjetil b halvorsen♦ | CC BY-SA 4.0 |
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| Nov 11, 2018 at 15:49 | history | edited | kjetil b halvorsen♦ | CC BY-SA 4.0 |
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| Nov 10, 2018 at 21:51 | history | edited | kjetil b halvorsen♦ | CC BY-SA 4.0 |
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| Nov 10, 2018 at 20:36 | comment | added | Cairan Van Rooyen | I have plotted quite a number of visuals from the data, but Im now trying to carry out analysis on the data to determine in hard numbers, which independent variables affect the dependent most. Im sorry, I am not able to share visuals as the data is restricted. I also wish to determine the highest and lowest CV for each independent variable to try establish a narrative for the reporting | |
| Nov 10, 2018 at 20:19 | comment | added | Cairan Van Rooyen | Hi. So the internal temperature was measured every 45 minutes for around 6 months in 280 houses. I have since limited the temperature data for November to February - as this roughly represents the heating season here in the UK. I calculated the daily standard deviation and daily mean and from this calculated the daily coefficient of variation. | |
| Nov 10, 2018 at 19:14 | history | answered | kjetil b halvorsen♦ | CC BY-SA 4.0 |