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 = -0.4 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Kennett
1
75 kgVallée
2
79 kgRäim
3
69 kgReguigui
4
69 kgBenfatto
5
71 kgPelucchi
6
74 kgEefting-Bloem
7
75 kgJones
8
81 kgEinhorn
10
72 kgPeñalver
11
67 kgOthman
12
57 kgTurek
13
72 kgPeron
15
70 kgPacioni
16
67 kgCima
21
70 kgZakaria
22
59 kgQuick
24
77 kgBouglas
25
71 kg
1
75 kgVallée
2
79 kgRäim
3
69 kgReguigui
4
69 kgBenfatto
5
71 kgPelucchi
6
74 kgEefting-Bloem
7
75 kgJones
8
81 kgEinhorn
10
72 kgPeñalver
11
67 kgOthman
12
57 kgTurek
13
72 kgPeron
15
70 kgPacioni
16
67 kgCima
21
70 kgZakaria
22
59 kgQuick
24
77 kgBouglas
25
71 kg
Weight (KG) →
Result →
81
57
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KENNETT Dylan | 75 |
| 2 | VALLÉE Boris | 79 |
| 3 | RÄIM Mihkel | 69 |
| 4 | REGUIGUI Youcef | 69 |
| 5 | BENFATTO Marco | 71 |
| 6 | PELUCCHI Matteo | 74 |
| 7 | EEFTING-BLOEM Roy | 75 |
| 8 | JONES Brenton | 81 |
| 10 | EINHORN Itamar | 72 |
| 11 | PEÑALVER Manuel | 67 |
| 12 | OTHMAN Muhamad Afiq Husaine | 57 |
| 13 | TUREK Daniel | 72 |
| 15 | PERON Andrea | 70 |
| 16 | PACIONI Luca | 67 |
| 21 | CIMA Damiano | 70 |
| 22 | ZAKARIA Akmal Hakim | 59 |
| 24 | QUICK Blake | 77 |
| 25 | BOUGLAS Georgios | 71 |