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 - 11
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Santambrogio
1
63 kgMarcato
4
67 kgIngels
5
70 kgViganò
6
67 kgJurčo
7
69 kgVeelers
8
75 kgMandri
12
66 kgWeylandt
18
72 kgBole
22
69 kgEibegger
29
68 kgSuray
33
67 kgFriedemann
37
75 kgIsta
39
70 kgVastaranta
44
63 kgDekker
48
69 kgBoom
49
75 kgStamsnijder
56
76 kgPossoni
58
56 kgVanendert
68
62 kgVelits
70
63 kgVelits
87
70 kgGraf
89
72 kgHollenstein
92
80 kg
1
63 kgMarcato
4
67 kgIngels
5
70 kgViganò
6
67 kgJurčo
7
69 kgVeelers
8
75 kgMandri
12
66 kgWeylandt
18
72 kgBole
22
69 kgEibegger
29
68 kgSuray
33
67 kgFriedemann
37
75 kgIsta
39
70 kgVastaranta
44
63 kgDekker
48
69 kgBoom
49
75 kgStamsnijder
56
76 kgPossoni
58
56 kgVanendert
68
62 kgVelits
70
63 kgVelits
87
70 kgGraf
89
72 kgHollenstein
92
80 kg
Weight (KG) →
Result →
80
56
1
92
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SANTAMBROGIO Mauro | 63 |
| 4 | MARCATO Marco | 67 |
| 5 | INGELS Nick | 70 |
| 6 | VIGANÒ Davide | 67 |
| 7 | JURČO Matej | 69 |
| 8 | VEELERS Tom | 75 |
| 12 | MANDRI René | 66 |
| 18 | WEYLANDT Wouter | 72 |
| 22 | BOLE Grega | 69 |
| 29 | EIBEGGER Markus | 68 |
| 33 | SURAY Gil | 67 |
| 37 | FRIEDEMANN Matthias | 75 |
| 39 | ISTA Kevyn | 70 |
| 44 | VASTARANTA Jukka | 63 |
| 48 | DEKKER Thomas | 69 |
| 49 | BOOM Lars | 75 |
| 56 | STAMSNIJDER Tom | 76 |
| 58 | POSSONI Morris | 56 |
| 68 | VANENDERT Jelle | 62 |
| 70 | VELITS Peter | 63 |
| 87 | VELITS Martin | 70 |
| 89 | GRAF Andreas | 72 |
| 92 | HOLLENSTEIN Reto | 80 |