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 = -0.6 * weight + 54
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Kashechkin
2
70 kgWiggins
4
76 kgSchmitz
5
77 kgPagliarini
6
68 kgQuinziato
7
74 kgCortinovis
8
68 kgCasar
9
63 kgKessler
11
70 kgAdamsson
13
68 kgGiordani
15
68 kgNazon
16
74 kgSchumacher
18
71 kgLöwik
19
72 kgJoly
20
74 kgHoste
21
80 kgNuritdinov
22
68 kgFritsch
23
65 kgRadochla
25
70 kgCasper
26
69 kgMasciarelli
27
63 kgScarponi
28
62 kg
2
70 kgWiggins
4
76 kgSchmitz
5
77 kgPagliarini
6
68 kgQuinziato
7
74 kgCortinovis
8
68 kgCasar
9
63 kgKessler
11
70 kgAdamsson
13
68 kgGiordani
15
68 kgNazon
16
74 kgSchumacher
18
71 kgLöwik
19
72 kgJoly
20
74 kgHoste
21
80 kgNuritdinov
22
68 kgFritsch
23
65 kgRadochla
25
70 kgCasper
26
69 kgMasciarelli
27
63 kgScarponi
28
62 kg
Weight (KG) →
Result →
80
62
2
28
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KASHECHKIN Andrey | 70 |
| 4 | WIGGINS Bradley | 76 |
| 5 | SCHMITZ Bram | 77 |
| 6 | PAGLIARINI Luciano André | 68 |
| 7 | QUINZIATO Manuel | 74 |
| 8 | CORTINOVIS Alessandro | 68 |
| 9 | CASAR Sandy | 63 |
| 11 | KESSLER Matthias | 70 |
| 13 | ADAMSSON Stefan | 68 |
| 15 | GIORDANI Leonardo | 68 |
| 16 | NAZON Jean-Patrick | 74 |
| 18 | SCHUMACHER Stefan | 71 |
| 19 | LÖWIK Gerben | 72 |
| 20 | JOLY Sébastien | 74 |
| 21 | HOSTE Leif | 80 |
| 22 | NURITDINOV Rafael | 68 |
| 23 | FRITSCH Nicolas | 65 |
| 25 | RADOCHLA Steffen | 70 |
| 26 | CASPER Jimmy | 69 |
| 27 | MASCIARELLI Simone | 63 |
| 28 | SCARPONI Michele | 62 |