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 = -0.1 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Hesselbarth
3
65 kgDegenkolb
5
82 kgMahďar
6
61 kgThurau
8
73 kgVanendert
12
64 kgSilin
16
61 kgSelander
19
72 kg
3
65 kgDegenkolb
5
82 kgMahďar
6
61 kgThurau
8
73 kgVanendert
12
64 kgSilin
16
61 kgSelander
19
72 kg
Weight (KG) →
Result →
82
61
3
19
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | HESSELBARTH David | 65 |
| 5 | DEGENKOLB John | 82 |
| 6 | MAHĎAR Martin | 61 |
| 8 | THURAU Björn | 73 |
| 12 | VANENDERT Dennis | 64 |
| 16 | SILIN Egor | 61 |
| 19 | SELANDER Bjorn | 72 |