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 = 0.5 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Brożyna
1
71 kgMayer
2
64 kgMiltiadis
3
74 kgBichlmann
5
72 kgLagab
6
63 kgRougier-Lagane
7
69 kgManizabayo
9
72 kgRitzinger
10
80 kgde Comarmond
11
66 kgKagimu
12
63 kgHofmeester
13
55 kgLenné
14
65 kgMerseburg
23
75 kgVenter
24
70 kgStosz
29
70 kgPurtscheller
36
75 kgSaint-Martin
53
66 kgBrutyn
63
73 kgSaleh
64
70 kg
1
71 kgMayer
2
64 kgMiltiadis
3
74 kgBichlmann
5
72 kgLagab
6
63 kgRougier-Lagane
7
69 kgManizabayo
9
72 kgRitzinger
10
80 kgde Comarmond
11
66 kgKagimu
12
63 kgHofmeester
13
55 kgLenné
14
65 kgMerseburg
23
75 kgVenter
24
70 kgStosz
29
70 kgPurtscheller
36
75 kgSaint-Martin
53
66 kgBrutyn
63
73 kgSaleh
64
70 kg
Weight (KG) →
Result →
80
55
1
64
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BROŻYNA Piotr | 71 |
| 2 | MAYER Alexandre | 64 |
| 3 | MILTIADIS Andreas | 74 |
| 5 | BICHLMANN Daniel | 72 |
| 6 | LAGAB Azzedine | 63 |
| 7 | ROUGIER-LAGANE Christopher | 69 |
| 9 | MANIZABAYO Eric | 72 |
| 10 | RITZINGER Felix | 80 |
| 11 | DE COMARMOND Aurelien | 66 |
| 12 | KAGIMU Charles | 63 |
| 13 | HOFMEESTER Marius | 55 |
| 14 | LENNÉ Arthur | 65 |
| 23 | MERSEBURG Dominik | 75 |
| 24 | VENTER Jaco | 70 |
| 29 | STOSZ Patryk | 70 |
| 36 | PURTSCHELLER Jakob | 75 |
| 53 | SAINT-MARTIN Clément | 66 |
| 63 | BRUTYN Simon | 73 |
| 64 | SALEH Mohd Harrif | 70 |