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 = 0.4 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Andreev
1
63 kgRøed
3
74 kgRivera
4
56 kgRaileanu
5
63 kgTracz
10
74 kgDolven
12
74 kgTichler
13
66 kgMórocz
14
74 kg
1
63 kgRøed
3
74 kgRivera
4
56 kgRaileanu
5
63 kgTracz
10
74 kgDolven
12
74 kgTichler
13
66 kgMórocz
14
74 kg
Weight (KG) →
Result →
74
56
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANDREEV Yordan | 63 |
| 3 | RØED Torbjørn Andre | 74 |
| 4 | RIVERA Kevin | 56 |
| 5 | RAILEANU Cristian | 63 |
| 10 | TRACZ Szymon | 74 |
| 12 | DOLVEN Halvor | 74 |
| 13 | TICHLER Thomas | 66 |
| 14 | MÓROCZ Barnabás | 74 |