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 = 1.2 * weight - 51
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Jurčo
1
69 kgSantambrogio
2
63 kgVeelers
3
75 kgViganò
4
67 kgBole
6
69 kgVastaranta
7
63 kgEibegger
9
68 kgDekker
10
69 kgPossoni
14
56 kgSuray
17
67 kgStamsnijder
21
76 kgBoom
27
75 kgVelits
34
63 kgFriedemann
38
75 kgIngels
46
70 kgWeylandt
47
72 kgMarcato
52
67 kgIsta
53
70 kgVanendert
63
62 kgMandri
69
66 kgVelits
72
70 kgGraf
74
72 kgHollenstein
76
80 kg
1
69 kgSantambrogio
2
63 kgVeelers
3
75 kgViganò
4
67 kgBole
6
69 kgVastaranta
7
63 kgEibegger
9
68 kgDekker
10
69 kgPossoni
14
56 kgSuray
17
67 kgStamsnijder
21
76 kgBoom
27
75 kgVelits
34
63 kgFriedemann
38
75 kgIngels
46
70 kgWeylandt
47
72 kgMarcato
52
67 kgIsta
53
70 kgVanendert
63
62 kgMandri
69
66 kgVelits
72
70 kgGraf
74
72 kgHollenstein
76
80 kg
Weight (KG) →
Result →
80
56
1
76
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JURČO Matej | 69 |
| 2 | SANTAMBROGIO Mauro | 63 |
| 3 | VEELERS Tom | 75 |
| 4 | VIGANÒ Davide | 67 |
| 6 | BOLE Grega | 69 |
| 7 | VASTARANTA Jukka | 63 |
| 9 | EIBEGGER Markus | 68 |
| 10 | DEKKER Thomas | 69 |
| 14 | POSSONI Morris | 56 |
| 17 | SURAY Gil | 67 |
| 21 | STAMSNIJDER Tom | 76 |
| 27 | BOOM Lars | 75 |
| 34 | VELITS Peter | 63 |
| 38 | FRIEDEMANN Matthias | 75 |
| 46 | INGELS Nick | 70 |
| 47 | WEYLANDT Wouter | 72 |
| 52 | MARCATO Marco | 67 |
| 53 | ISTA Kevyn | 70 |
| 63 | VANENDERT Jelle | 62 |
| 69 | MANDRI René | 66 |
| 72 | VELITS Martin | 70 |
| 74 | GRAF Andreas | 72 |
| 76 | HOLLENSTEIN Reto | 80 |