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 = -0.8 * weight + 89
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Pardilla
4
65 kgLloyd
6
70 kgDowning
8
64 kgBrändle
9
80 kgLapthorne
12
70 kgSchillinger
13
72 kgvan Houts
21
64 kgHuber
28
70 kgDe Schrooder
29
61 kgPeters
40
69 kgElliott
44
76 kgReimer
45
69 kgToribio
46
64 kgHegreberg
48
72 kgPujol
49
58 kgBaumann
56
72 kgPrades
61
63 kgLund
71
65 kg
4
65 kgLloyd
6
70 kgDowning
8
64 kgBrändle
9
80 kgLapthorne
12
70 kgSchillinger
13
72 kgvan Houts
21
64 kgHuber
28
70 kgDe Schrooder
29
61 kgPeters
40
69 kgElliott
44
76 kgReimer
45
69 kgToribio
46
64 kgHegreberg
48
72 kgPujol
49
58 kgBaumann
56
72 kgPrades
61
63 kgLund
71
65 kg
Weight (KG) →
Result →
80
58
4
71
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | PARDILLA Sergio | 65 |
| 6 | LLOYD Daniel | 70 |
| 8 | DOWNING Russell | 64 |
| 9 | BRÄNDLE Matthias | 80 |
| 12 | LAPTHORNE Darren | 70 |
| 13 | SCHILLINGER Andreas | 72 |
| 21 | VAN HOUTS Rudi | 64 |
| 28 | HUBER Urs | 70 |
| 29 | DE SCHROODER Benny | 61 |
| 40 | PETERS Bas | 69 |
| 44 | ELLIOTT Malcolm | 76 |
| 45 | REIMER Martin | 69 |
| 46 | TORIBIO José Vicente | 64 |
| 48 | HEGREBERG Morten | 72 |
| 49 | PUJOL Óscar | 58 |
| 56 | BAUMANN Eric | 72 |
| 61 | PRADES Eduard | 63 |
| 71 | LUND Anders | 65 |