Timeline for Statistical significance testing for multiple categorical variables: modeling coefficient of variation of temperature inside houses
Current License: CC BY-SA 4.0
25 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Sep 29 at 17:07 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| May 23 at 3:07 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jan 17 at 17:06 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Sep 18, 2023 at 14:07 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| May 21, 2023 at 10:00 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jan 20, 2023 at 19:00 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Sep 20, 2022 at 13:00 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| May 21, 2022 at 17:04 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jan 20, 2022 at 4:04 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Sep 21, 2021 at 2:00 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| May 16, 2021 at 23:03 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Dec 28, 2020 at 15:04 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Nov 18, 2018 at 8:50 | comment | added | Cairan Van Rooyen | I am interested in households throughout England, not the whole of the UK. The sample is representative of these areas. None of my variables are continuous, hence the problem. | |
| Nov 17, 2018 at 1:37 | comment | added | user10619 | You can identify key factors first and nove ahead with linear regression if the variables are continuous or scaled correctly. I shall write about the issues in detail if you post response to my quarries. | |
| Nov 17, 2018 at 1:31 | comment | added | user10619 | You seem to be interested in households across U.K. i .e. England, Scotland Wales and Nothern Ireland. Does your sample data reflects all areas ?. Alternatively, your sample is restricted ?. | |
| Nov 11, 2018 at 19:20 | history | edited | Cairan Van Rooyen | CC BY-SA 4.0 |
added 130 characters in body
|
| Nov 11, 2018 at 1:01 | history | edited | kjetil b halvorsen♦ | CC BY-SA 4.0 |
edited title
|
| Nov 10, 2018 at 21:26 | history | edited | kjetil b halvorsen♦ | CC BY-SA 4.0 |
edited tags
|
| Nov 10, 2018 at 20:47 | history | edited | Cairan Van Rooyen | CC BY-SA 4.0 |
added 245 characters in body
|
| Nov 10, 2018 at 20:31 | history | edited | Cairan Van Rooyen | CC BY-SA 4.0 |
added 353 characters in body
|
| Nov 10, 2018 at 19:14 | answer | added | kjetil b halvorsen♦ | timeline score: 0 | |
| Nov 10, 2018 at 19:07 | history | edited | kjetil b halvorsen♦ | CC BY-SA 4.0 |
added 9 characters in body
|
| Nov 10, 2018 at 19:06 | comment | added | StatsStudent | I think you're better off using a multiple regression analysis where you regress temperature onto all of your independent variables simultaneously. You can then determine which variable contribute to changes in temperature, while adjusting for the presence of the other variables in your model. Using your model's results, you can then determine the largest absolute change in temperature for one unit change in your dependent variable by simply examining the value of each statistically significant coefficient ($\hat{\beta}$). Keep in mind though, the units of measurement may be different. | |
| Nov 10, 2018 at 18:25 | review | First posts | |||
| Nov 10, 2018 at 18:27 | |||||
| Nov 10, 2018 at 18:23 | history | asked | Cairan Van Rooyen | CC BY-SA 4.0 |