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:
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Brożyna
1
71 kgMayer
2
64 kgMiltiadis
3
74 kgRitzinger
4
80 kgRougier-Lagane
5
69 kgKagimu
6
63 kgLenné
8
65 kgBichlmann
9
72 kgLagab
11
63 kgManizabayo
12
72 kgde Comarmond
14
66 kgStosz
15
70 kgHofmeester
16
55 kgVenter
18
70 kgMerseburg
20
75 kgPurtscheller
27
75 kgSaint-Martin
38
66 kgBrutyn
49
73 kgSaleh
67
70 kg
1
71 kgMayer
2
64 kgMiltiadis
3
74 kgRitzinger
4
80 kgRougier-Lagane
5
69 kgKagimu
6
63 kgLenné
8
65 kgBichlmann
9
72 kgLagab
11
63 kgManizabayo
12
72 kgde Comarmond
14
66 kgStosz
15
70 kgHofmeester
16
55 kgVenter
18
70 kgMerseburg
20
75 kgPurtscheller
27
75 kgSaint-Martin
38
66 kgBrutyn
49
73 kgSaleh
67
70 kg
Weight (KG) →
Result →
80
55
1
67
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BROŻYNA Piotr | 71 |
| 2 | MAYER Alexandre | 64 |
| 3 | MILTIADIS Andreas | 74 |
| 4 | RITZINGER Felix | 80 |
| 5 | ROUGIER-LAGANE Christopher | 69 |
| 6 | KAGIMU Charles | 63 |
| 8 | LENNÉ Arthur | 65 |
| 9 | BICHLMANN Daniel | 72 |
| 11 | LAGAB Azzedine | 63 |
| 12 | MANIZABAYO Eric | 72 |
| 14 | DE COMARMOND Aurelien | 66 |
| 15 | STOSZ Patryk | 70 |
| 16 | HOFMEESTER Marius | 55 |
| 18 | VENTER Jaco | 70 |
| 20 | MERSEBURG Dominik | 75 |
| 27 | PURTSCHELLER Jakob | 75 |
| 38 | SAINT-MARTIN Clément | 66 |
| 49 | BRUTYN Simon | 73 |
| 67 | SALEH Mohd Harrif | 70 |