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 = 0.7 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Santambrogio
1
63 kgVeelers
2
75 kgViganò
3
67 kgIngels
9
70 kgIsta
12
70 kgSuray
13
67 kgVastaranta
16
63 kgJurčo
18
69 kgWeylandt
21
72 kgMandri
28
66 kgDekker
37
69 kgStamsnijder
43
76 kgFriedemann
55
75 kgEibegger
58
68 kgPossoni
64
56 kgVelits
67
63 kgBole
70
69 kgGraf
71
72 kgVelits
72
70 kgMarcato
78
67 kgBoom
82
75 kgVanendert
86
62 kgHollenstein
98
80 kg
1
63 kgVeelers
2
75 kgViganò
3
67 kgIngels
9
70 kgIsta
12
70 kgSuray
13
67 kgVastaranta
16
63 kgJurčo
18
69 kgWeylandt
21
72 kgMandri
28
66 kgDekker
37
69 kgStamsnijder
43
76 kgFriedemann
55
75 kgEibegger
58
68 kgPossoni
64
56 kgVelits
67
63 kgBole
70
69 kgGraf
71
72 kgVelits
72
70 kgMarcato
78
67 kgBoom
82
75 kgVanendert
86
62 kgHollenstein
98
80 kg
Weight (KG) →
Result →
80
56
1
98
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SANTAMBROGIO Mauro | 63 |
| 2 | VEELERS Tom | 75 |
| 3 | VIGANÒ Davide | 67 |
| 9 | INGELS Nick | 70 |
| 12 | ISTA Kevyn | 70 |
| 13 | SURAY Gil | 67 |
| 16 | VASTARANTA Jukka | 63 |
| 18 | JURČO Matej | 69 |
| 21 | WEYLANDT Wouter | 72 |
| 28 | MANDRI René | 66 |
| 37 | DEKKER Thomas | 69 |
| 43 | STAMSNIJDER Tom | 76 |
| 55 | FRIEDEMANN Matthias | 75 |
| 58 | EIBEGGER Markus | 68 |
| 64 | POSSONI Morris | 56 |
| 67 | VELITS Peter | 63 |
| 70 | BOLE Grega | 69 |
| 71 | GRAF Andreas | 72 |
| 72 | VELITS Martin | 70 |
| 78 | MARCATO Marco | 67 |
| 82 | BOOM Lars | 75 |
| 86 | VANENDERT Jelle | 62 |
| 98 | HOLLENSTEIN Reto | 80 |