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 = 0.7 * weight - 31
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Stosz
1
70 kgMayer
2
64 kgLenné
3
65 kgKagimu
4
63 kgPurtscheller
5
75 kgMiltiadis
7
74 kgRougier-Lagane
9
69 kgReguigui
10
69 kgBrożyna
11
71 kgRitzinger
12
80 kgMerseburg
15
75 kgBichlmann
16
72 kgLagab
19
63 kgManizabayo
20
72 kgHofmeester
21
55 kgVenter
25
70 kgde Comarmond
26
66 kgBrutyn
30
73 kgSaint-Martin
36
66 kgSaleh
72
70 kgLuijten
74
79 kg
1
70 kgMayer
2
64 kgLenné
3
65 kgKagimu
4
63 kgPurtscheller
5
75 kgMiltiadis
7
74 kgRougier-Lagane
9
69 kgReguigui
10
69 kgBrożyna
11
71 kgRitzinger
12
80 kgMerseburg
15
75 kgBichlmann
16
72 kgLagab
19
63 kgManizabayo
20
72 kgHofmeester
21
55 kgVenter
25
70 kgde Comarmond
26
66 kgBrutyn
30
73 kgSaint-Martin
36
66 kgSaleh
72
70 kgLuijten
74
79 kg
Weight (KG) →
Result →
80
55
1
74
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STOSZ Patryk | 70 |
| 2 | MAYER Alexandre | 64 |
| 3 | LENNÉ Arthur | 65 |
| 4 | KAGIMU Charles | 63 |
| 5 | PURTSCHELLER Jakob | 75 |
| 7 | MILTIADIS Andreas | 74 |
| 9 | ROUGIER-LAGANE Christopher | 69 |
| 10 | REGUIGUI Youcef | 69 |
| 11 | BROŻYNA Piotr | 71 |
| 12 | RITZINGER Felix | 80 |
| 15 | MERSEBURG Dominik | 75 |
| 16 | BICHLMANN Daniel | 72 |
| 19 | LAGAB Azzedine | 63 |
| 20 | MANIZABAYO Eric | 72 |
| 21 | HOFMEESTER Marius | 55 |
| 25 | VENTER Jaco | 70 |
| 26 | DE COMARMOND Aurelien | 66 |
| 30 | BRUTYN Simon | 73 |
| 36 | SAINT-MARTIN Clément | 66 |
| 72 | SALEH Mohd Harrif | 70 |
| 74 | LUIJTEN Noel | 79 |