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 + 46
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Maté
4
68 kgPardilla
8
65 kgMizurov
10
68 kgReus
13
70 kgGlasner
14
72 kgDyachenko
16
65 kgBrutt
23
70 kgMoreno
26
63 kg
4
68 kgPardilla
8
65 kgMizurov
10
68 kgReus
13
70 kgGlasner
14
72 kgDyachenko
16
65 kgBrutt
23
70 kgMoreno
26
63 kg
Weight (KG) →
Result →
72
63
4
26
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | MATÉ Luis Ángel | 68 |
| 8 | PARDILLA Sergio | 65 |
| 10 | MIZUROV Andrey | 68 |
| 13 | REUS Kai | 70 |
| 14 | GLASNER Björn | 72 |
| 16 | DYACHENKO Alexandr | 65 |
| 23 | BRUTT Pavel | 70 |
| 26 | MORENO Javier | 63 |