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 - 20
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Roglič
2
65 kgKump
3
68 kgKatrašnik
4
69 kgStosz
5
70 kgAverin
6
74 kgPavlič
7
65 kgKalojíros
9
68 kgKorošec
10
75 kg
2
65 kgKump
3
68 kgKatrašnik
4
69 kgStosz
5
70 kgAverin
6
74 kgPavlič
7
65 kgKalojíros
9
68 kgKorošec
10
75 kg
Weight (KG) →
Result →
75
65
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROGLIČ Primož | 65 |
| 3 | KUMP Marko | 68 |
| 4 | KATRAŠNIK Gašper | 69 |
| 5 | STOSZ Patryk | 70 |
| 6 | AVERIN Maksym | 74 |
| 7 | PAVLIČ Marko | 65 |
| 9 | KALOJÍROS Tomáš | 68 |
| 10 | KOROŠEC Rok | 75 |