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 - 12
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Santambrogio
1
63 kgVastaranta
2
63 kgViganò
3
67 kgPossoni
4
56 kgBole
5
69 kgJurčo
6
69 kgDekker
9
69 kgEibegger
12
68 kgVeelers
13
75 kgStamsnijder
16
76 kgSuray
18
67 kgBoom
31
75 kgVelits
34
63 kgHollenstein
36
80 kgFriedemann
42
75 kgIngels
55
70 kgWeylandt
64
72 kgMarcato
68
67 kgVelits
69
70 kgIsta
73
70 kgVanendert
79
62 kgGraf
81
72 kgMandri
100
66 kg
1
63 kgVastaranta
2
63 kgViganò
3
67 kgPossoni
4
56 kgBole
5
69 kgJurčo
6
69 kgDekker
9
69 kgEibegger
12
68 kgVeelers
13
75 kgStamsnijder
16
76 kgSuray
18
67 kgBoom
31
75 kgVelits
34
63 kgHollenstein
36
80 kgFriedemann
42
75 kgIngels
55
70 kgWeylandt
64
72 kgMarcato
68
67 kgVelits
69
70 kgIsta
73
70 kgVanendert
79
62 kgGraf
81
72 kgMandri
100
66 kg
Weight (KG) →
Result →
80
56
1
100
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SANTAMBROGIO Mauro | 63 |
| 2 | VASTARANTA Jukka | 63 |
| 3 | VIGANÒ Davide | 67 |
| 4 | POSSONI Morris | 56 |
| 5 | BOLE Grega | 69 |
| 6 | JURČO Matej | 69 |
| 9 | DEKKER Thomas | 69 |
| 12 | EIBEGGER Markus | 68 |
| 13 | VEELERS Tom | 75 |
| 16 | STAMSNIJDER Tom | 76 |
| 18 | SURAY Gil | 67 |
| 31 | BOOM Lars | 75 |
| 34 | VELITS Peter | 63 |
| 36 | HOLLENSTEIN Reto | 80 |
| 42 | FRIEDEMANN Matthias | 75 |
| 55 | INGELS Nick | 70 |
| 64 | WEYLANDT Wouter | 72 |
| 68 | MARCATO Marco | 67 |
| 69 | VELITS Martin | 70 |
| 73 | ISTA Kevyn | 70 |
| 79 | VANENDERT Jelle | 62 |
| 81 | GRAF Andreas | 72 |
| 100 | MANDRI René | 66 |