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 = 0.3 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Henry
2
60 kgBerzin
3
64 kgAndersson
6
71 kgHamburger
9
58 kgSimon
11
70 kgAug
15
83 kgGroenendaal
19
66 kg
2
60 kgBerzin
3
64 kgAndersson
6
71 kgHamburger
9
58 kgSimon
11
70 kgAug
15
83 kgGroenendaal
19
66 kg
Weight (KG) →
Result →
83
58
2
19
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HENRY Conor | 60 |
| 3 | BERZIN Evgeni | 64 |
| 6 | ANDERSSON Michael | 71 |
| 9 | HAMBURGER Bo | 58 |
| 11 | SIMON François | 70 |
| 15 | AUG Andrus | 83 |
| 19 | GROENENDAAL Richard | 66 |