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 * weight + 4
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Affini
1
80 kgCattaneo
1
67 kgCecchini
1
52 kgGuazzini
1
65 kgMaestri
1
73 kgKlein
2
61 kgKröger
2
77 kgPolitt
2
80 kgSteimle
2
73 kgWalscheid
2
90 kgCastrique
3
63 kgVandenbranden
3
74 kgVercouillie
3
66 kgVandenbulcke
3
60 kgTheuns
3
72 kgMaciejuk
4
78 kgSajnok
4
75 kgSkalniak-Sójka
4
54 kgGieryk
4
71 kgShekel
5
58 kgPetrov
6
66 kgStoyanova
6
60 kgStoynev
6
95 kgTonkova
6
54 kg
1
80 kgCattaneo
1
67 kgCecchini
1
52 kgGuazzini
1
65 kgMaestri
1
73 kgKlein
2
61 kgKröger
2
77 kgPolitt
2
80 kgSteimle
2
73 kgWalscheid
2
90 kgCastrique
3
63 kgVandenbranden
3
74 kgVercouillie
3
66 kgVandenbulcke
3
60 kgTheuns
3
72 kgMaciejuk
4
78 kgSajnok
4
75 kgSkalniak-Sójka
4
54 kgGieryk
4
71 kgShekel
5
58 kgPetrov
6
66 kgStoyanova
6
60 kgStoynev
6
95 kgTonkova
6
54 kg
Weight (KG) →
Result →
95
52
1
6
# | Rider | Weight (KG) |
---|---|---|
1 | AFFINI Edoardo | 80 |
1 | CATTANEO Mattia | 67 |
1 | CECCHINI Elena | 52 |
1 | GUAZZINI Vittoria | 65 |
1 | MAESTRI Mirco | 73 |
2 | KLEIN Lisa | 61 |
2 | KRÖGER Mieke | 77 |
2 | POLITT Nils | 80 |
2 | STEIMLE Jannik | 73 |
2 | WALSCHEID Max | 90 |
3 | CASTRIQUE Alana | 63 |
3 | VANDENBRANDEN Noah | 74 |
3 | VERCOUILLIE Victor | 66 |
3 | VANDENBULCKE Jesse | 60 |
3 | THEUNS Edward | 72 |
4 | MACIEJUK Filip | 78 |
4 | SAJNOK Szymon | 75 |
4 | SKALNIAK-SÓJKA Agnieszka | 54 |
4 | GIERYK Kacper | 71 |
5 | SHEKEL Olga | 58 |
6 | PETROV Yordan | 66 |
6 | STOYANOVA Gergana | 60 |
6 | STOYNEV Emil | 95 |
6 | TONKOVA Ivana Nikolaeva | 54 |