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 + 62
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Guardini
1
66 kgEwan
2
69 kgÖrken
3
69 kgTrusov
4
77 kgBertazzo
5
75 kgFukuda
6
70 kgFeillu
7
62 kgSaleh
8
70 kgHanson
9
74 kgChicchi
12
76 kgMareczko
13
67 kgReguigui
14
69 kgDal Col
15
80 kgMolano
16
72 kgWang
19
70 kgAsadov
21
77 kgReijnen
23
63 kgManulang
25
59 kgDuque
26
59 kgChirico
27
58 kgSutton
28
67 kgSaleh
29
58 kg
1
66 kgEwan
2
69 kgÖrken
3
69 kgTrusov
4
77 kgBertazzo
5
75 kgFukuda
6
70 kgFeillu
7
62 kgSaleh
8
70 kgHanson
9
74 kgChicchi
12
76 kgMareczko
13
67 kgReguigui
14
69 kgDal Col
15
80 kgMolano
16
72 kgWang
19
70 kgAsadov
21
77 kgReijnen
23
63 kgManulang
25
59 kgDuque
26
59 kgChirico
27
58 kgSutton
28
67 kgSaleh
29
58 kg
Weight (KG) →
Result →
80
58
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUARDINI Andrea | 66 |
| 2 | EWAN Caleb | 69 |
| 3 | ÖRKEN Ahmet | 69 |
| 4 | TRUSOV Nikolay | 77 |
| 5 | BERTAZZO Liam | 75 |
| 6 | FUKUDA Shinpei | 70 |
| 7 | FEILLU Romain | 62 |
| 8 | SALEH Mohd Harrif | 70 |
| 9 | HANSON Ken | 74 |
| 12 | CHICCHI Francesco | 76 |
| 13 | MARECZKO Jakub | 67 |
| 14 | REGUIGUI Youcef | 69 |
| 15 | DAL COL Andrea | 80 |
| 16 | MOLANO Juan Sebastián | 72 |
| 19 | WANG Meiyin | 70 |
| 21 | ASADOV Elchin | 77 |
| 23 | REIJNEN Kiel | 63 |
| 25 | MANULANG Robin | 59 |
| 26 | DUQUE Leonardo Fabio | 59 |
| 27 | CHIRICO Luca | 58 |
| 28 | SUTTON Chris | 67 |
| 29 | SALEH Mohd Zamri | 58 |