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 = 0.2 * weight + 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Ritzinger
1
80 kgStosz
2
70 kgVenter
3
70 kgMayer
4
64 kgLenné
7
65 kgBichlmann
12
72 kgMerseburg
13
75 kgHofmeester
14
55 kgMiltiadis
17
74 kgKagimu
18
63 kgManizabayo
19
72 kgRougier-Lagane
20
69 kgBrożyna
21
71 kgLagab
23
63 kgde Comarmond
26
66 kgSaleh
37
70 kgBrutyn
45
73 kgSaint-Martin
57
66 kgPurtscheller
61
75 kg
1
80 kgStosz
2
70 kgVenter
3
70 kgMayer
4
64 kgLenné
7
65 kgBichlmann
12
72 kgMerseburg
13
75 kgHofmeester
14
55 kgMiltiadis
17
74 kgKagimu
18
63 kgManizabayo
19
72 kgRougier-Lagane
20
69 kgBrożyna
21
71 kgLagab
23
63 kgde Comarmond
26
66 kgSaleh
37
70 kgBrutyn
45
73 kgSaint-Martin
57
66 kgPurtscheller
61
75 kg
Weight (KG) →
Result →
80
55
1
61
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RITZINGER Felix | 80 |
| 2 | STOSZ Patryk | 70 |
| 3 | VENTER Jaco | 70 |
| 4 | MAYER Alexandre | 64 |
| 7 | LENNÉ Arthur | 65 |
| 12 | BICHLMANN Daniel | 72 |
| 13 | MERSEBURG Dominik | 75 |
| 14 | HOFMEESTER Marius | 55 |
| 17 | MILTIADIS Andreas | 74 |
| 18 | KAGIMU Charles | 63 |
| 19 | MANIZABAYO Eric | 72 |
| 20 | ROUGIER-LAGANE Christopher | 69 |
| 21 | BROŻYNA Piotr | 71 |
| 23 | LAGAB Azzedine | 63 |
| 26 | DE COMARMOND Aurelien | 66 |
| 37 | SALEH Mohd Harrif | 70 |
| 45 | BRUTYN Simon | 73 |
| 57 | SAINT-MARTIN Clément | 66 |
| 61 | PURTSCHELLER Jakob | 75 |