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 + 56
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Richeze
1
68 kgLoddo
2
60 kgTrusov
3
77 kgImpey
5
72 kgBonnet
7
80 kgPark
9
73 kgDean
12
72 kgPasamontes
13
72 kgFukushima
16
62 kgMiyazawa
20
61 kgZargari
22
62 kgRenier
23
69 kgSulzberger
24
65 kgBates
25
61 kgVoeckler
26
71 kgMatveyev
28
78 kgJégou
30
71 kgBellotti
31
65 kgAggiano
33
63 kgArashiro
34
64 kg
1
68 kgLoddo
2
60 kgTrusov
3
77 kgImpey
5
72 kgBonnet
7
80 kgPark
9
73 kgDean
12
72 kgPasamontes
13
72 kgFukushima
16
62 kgMiyazawa
20
61 kgZargari
22
62 kgRenier
23
69 kgSulzberger
24
65 kgBates
25
61 kgVoeckler
26
71 kgMatveyev
28
78 kgJégou
30
71 kgBellotti
31
65 kgAggiano
33
63 kgArashiro
34
64 kg
Weight (KG) →
Result →
80
60
1
34
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RICHEZE Maximiliano | 68 |
| 2 | LODDO Alberto | 60 |
| 3 | TRUSOV Nikolay | 77 |
| 5 | IMPEY Daryl | 72 |
| 7 | BONNET William | 80 |
| 9 | PARK Sung Baek | 73 |
| 12 | DEAN Julian | 72 |
| 13 | PASAMONTES Luis | 72 |
| 16 | FUKUSHIMA Shinichi | 62 |
| 20 | MIYAZAWA Takashi | 61 |
| 22 | ZARGARI Amir | 62 |
| 23 | RENIER Franck | 69 |
| 24 | SULZBERGER Wesley | 65 |
| 25 | BATES Gene | 61 |
| 26 | VOECKLER Thomas | 71 |
| 28 | MATVEYEV Sergiy | 78 |
| 30 | JÉGOU Lilian | 71 |
| 31 | BELLOTTI Francesco | 65 |
| 33 | AGGIANO Elio | 63 |
| 34 | ARASHIRO Yukiya | 64 |