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 - 13
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Nakai
1
62 kgVinokurov
2
65 kgCarboni
3
61 kgIribe
4
61 kgvan Engelen
5
51 kgKudus
6
58 kgDyball
8
63 kgCavanagh
9
72 kgQuintero
13
67 kgMohd Zariff
14
63 kgKobayashi
15
64 kgKazama
17
61 kgBudyak
18
53 kgGreenwood
19
63 kgVinokurov
20
66 kgEarle
21
70 kgToribio
22
64 kgKoishi
23
62 kgAguilera
25
62 kgOda
26
68 kg
1
62 kgVinokurov
2
65 kgCarboni
3
61 kgIribe
4
61 kgvan Engelen
5
51 kgKudus
6
58 kgDyball
8
63 kgCavanagh
9
72 kgQuintero
13
67 kgMohd Zariff
14
63 kgKobayashi
15
64 kgKazama
17
61 kgBudyak
18
53 kgGreenwood
19
63 kgVinokurov
20
66 kgEarle
21
70 kgToribio
22
64 kgKoishi
23
62 kgAguilera
25
62 kgOda
26
68 kg
Weight (KG) →
Result →
72
51
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NAKAI Tadaaki | 62 |
| 2 | VINOKUROV Nicolas | 65 |
| 3 | CARBONI Giovanni | 61 |
| 4 | IRIBE Shotaro | 61 |
| 5 | VAN ENGELEN Adne | 51 |
| 6 | KUDUS Merhawi | 58 |
| 8 | DYBALL Benjamin | 63 |
| 9 | CAVANAGH Ryan | 72 |
| 13 | QUINTERO Leonel | 67 |
| 14 | MOHD ZARIFF Muhammad Nur Aiman | 63 |
| 15 | KOBAYASHI Marino | 64 |
| 17 | KAZAMA Shoma | 61 |
| 18 | BUDYAK Anatoliy | 53 |
| 19 | GREENWOOD Matthew | 63 |
| 20 | VINOKUROV Alexandre | 66 |
| 21 | EARLE Nathan | 70 |
| 22 | TORIBIO José Vicente | 64 |
| 23 | KOISHI Yuma | 62 |
| 25 | AGUILERA Nil | 62 |
| 26 | ODA Hijiri | 68 |