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 = 0.3 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Miltiadis
2
74 kgBrożyna
3
71 kgVenter
4
70 kgPurtscheller
5
75 kgStosz
7
70 kgKagimu
8
63 kgde Comarmond
9
66 kgRitzinger
11
80 kgRougier-Lagane
12
69 kgReguigui
15
69 kgMayer
16
64 kgBichlmann
17
72 kgManizabayo
20
72 kgHofmeester
22
55 kgLenné
24
65 kgLagab
26
63 kgMerseburg
35
75 kgBrutyn
36
73 kgSaint-Martin
53
66 kgLuijten
58
79 kgErnesta
79
70 kgSaleh
94
70 kg
2
74 kgBrożyna
3
71 kgVenter
4
70 kgPurtscheller
5
75 kgStosz
7
70 kgKagimu
8
63 kgde Comarmond
9
66 kgRitzinger
11
80 kgRougier-Lagane
12
69 kgReguigui
15
69 kgMayer
16
64 kgBichlmann
17
72 kgManizabayo
20
72 kgHofmeester
22
55 kgLenné
24
65 kgLagab
26
63 kgMerseburg
35
75 kgBrutyn
36
73 kgSaint-Martin
53
66 kgLuijten
58
79 kgErnesta
79
70 kgSaleh
94
70 kg
Weight (KG) →
Result →
80
55
2
94
# | Rider | Weight (KG) |
---|---|---|
2 | MILTIADIS Andreas | 74 |
3 | BROŻYNA Piotr | 71 |
4 | VENTER Jaco | 70 |
5 | PURTSCHELLER Jakob | 75 |
7 | STOSZ Patryk | 70 |
8 | KAGIMU Charles | 63 |
9 | DE COMARMOND Aurelien | 66 |
11 | RITZINGER Felix | 80 |
12 | ROUGIER-LAGANE Christopher | 69 |
15 | REGUIGUI Youcef | 69 |
16 | MAYER Alexandre | 64 |
17 | BICHLMANN Daniel | 72 |
20 | MANIZABAYO Eric | 72 |
22 | HOFMEESTER Marius | 55 |
24 | LENNÉ Arthur | 65 |
26 | LAGAB Azzedine | 63 |
35 | MERSEBURG Dominik | 75 |
36 | BRUTYN Simon | 73 |
53 | SAINT-MARTIN Clément | 66 |
58 | LUIJTEN Noel | 79 |
79 | ERNESTA Joseph Mario | 70 |
94 | SALEH Mohd Harrif | 70 |