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 = -0.2 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Eyob
1
61 kgGibbons
4
70 kgBester
7
67 kgde Bod
11
66 kgDlamini
12
66 kgOkubamariam
13
60 kg
1
61 kgGibbons
4
70 kgBester
7
67 kgde Bod
11
66 kgDlamini
12
66 kgOkubamariam
13
60 kg
Weight (KG) →
Result →
70
60
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EYOB Metkel | 61 |
| 4 | GIBBONS Ryan | 70 |
| 7 | BESTER Shaun-Nick | 67 |
| 11 | DE BOD Stefan | 66 |
| 12 | DLAMINI Nic | 66 |
| 13 | OKUBAMARIAM Tesfom | 60 |