Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.5 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
García
1
68 kgAzman
2
57 kgLebas
3
65 kgCuley
4
69 kgCrawford
7
59 kgHibatulah
9
55 kgNieto
12
58 kgCahyadi
13
52 kg
1
68 kgAzman
2
57 kgLebas
3
65 kgCuley
4
69 kgCrawford
7
59 kgHibatulah
9
55 kgNieto
12
58 kgCahyadi
13
52 kg
Weight (KG) →
Result →
69
52
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GARCÍA Ricardo | 68 |
| 2 | AZMAN Muhamad Zawawi | 57 |
| 3 | LEBAS Thomas | 65 |
| 4 | CULEY Marcus | 69 |
| 7 | CRAWFORD Jai | 59 |
| 9 | HIBATULAH Jamal | 55 |
| 12 | NIETO Edgar | 58 |
| 13 | CAHYADI Aiman | 52 |