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 = -3.4 * weight + 301
This means that on average for every extra kilogram weight a rider loses -3.4 positions in the result.
Sieberg
1
80 kgBengsch
2
85 kgGreipel
4
80 kgShpilevsky
5
78 kgWagner
10
75 kgBommel
15
75 kgDietziker
24
67 kgKozontchuk
30
75 kgHoffmann
35
65 kgSoutham
37
69 kgKnees
41
81 kgKrauß
52
81 kgCummings
60
73 kgFriedemann
64
75 kgPedersen
76
62 kgGerdemann
78
71 kgMartens
87
69 kgDuijn
105
73 kgHonig
106
61 kgStalder
107
58 kgMusiol
124
70 kg
1
80 kgBengsch
2
85 kgGreipel
4
80 kgShpilevsky
5
78 kgWagner
10
75 kgBommel
15
75 kgDietziker
24
67 kgKozontchuk
30
75 kgHoffmann
35
65 kgSoutham
37
69 kgKnees
41
81 kgKrauß
52
81 kgCummings
60
73 kgFriedemann
64
75 kgPedersen
76
62 kgGerdemann
78
71 kgMartens
87
69 kgDuijn
105
73 kgHonig
106
61 kgStalder
107
58 kgMusiol
124
70 kg
Weight (KG) →
Result →
85
58
1
124
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIEBERG Marcel | 80 |
| 2 | BENGSCH Robert | 85 |
| 4 | GREIPEL André | 80 |
| 5 | SHPILEVSKY Boris | 78 |
| 10 | WAGNER Robert | 75 |
| 15 | BOMMEL Henning | 75 |
| 24 | DIETZIKER Andreas | 67 |
| 30 | KOZONTCHUK Dmitry | 75 |
| 35 | HOFFMANN Erik | 65 |
| 37 | SOUTHAM Tom | 69 |
| 41 | KNEES Christian | 81 |
| 52 | KRAUß Sven | 81 |
| 60 | CUMMINGS Steve | 73 |
| 64 | FRIEDEMANN Matthias | 75 |
| 76 | PEDERSEN Martin | 62 |
| 78 | GERDEMANN Linus | 71 |
| 87 | MARTENS Paul | 69 |
| 105 | DUIJN Huub | 73 |
| 106 | HONIG Reinier | 61 |
| 107 | STALDER Florian | 58 |
| 124 | MUSIOL Daniel | 70 |