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 = 0.1 * weight + 35
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Sieberg
4
80 kgMusiol
5
70 kgShpilevsky
7
78 kgWagner
10
75 kgHonig
13
61 kgDietziker
22
67 kgPedersen
25
62 kgKnees
26
81 kgCummings
30
73 kgGerdemann
33
71 kgBengsch
34
85 kgSoutham
36
69 kgKozontchuk
42
75 kgStalder
43
58 kgBommel
44
75 kgFriedemann
59
75 kgGreipel
75
80 kgMartens
77
69 kgKrauß
87
81 kgHoffmann
100
65 kg
4
80 kgMusiol
5
70 kgShpilevsky
7
78 kgWagner
10
75 kgHonig
13
61 kgDietziker
22
67 kgPedersen
25
62 kgKnees
26
81 kgCummings
30
73 kgGerdemann
33
71 kgBengsch
34
85 kgSoutham
36
69 kgKozontchuk
42
75 kgStalder
43
58 kgBommel
44
75 kgFriedemann
59
75 kgGreipel
75
80 kgMartens
77
69 kgKrauß
87
81 kgHoffmann
100
65 kg
Weight (KG) →
Result →
85
58
4
100
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SIEBERG Marcel | 80 |
| 5 | MUSIOL Daniel | 70 |
| 7 | SHPILEVSKY Boris | 78 |
| 10 | WAGNER Robert | 75 |
| 13 | HONIG Reinier | 61 |
| 22 | DIETZIKER Andreas | 67 |
| 25 | PEDERSEN Martin | 62 |
| 26 | KNEES Christian | 81 |
| 30 | CUMMINGS Steve | 73 |
| 33 | GERDEMANN Linus | 71 |
| 34 | BENGSCH Robert | 85 |
| 36 | SOUTHAM Tom | 69 |
| 42 | KOZONTCHUK Dmitry | 75 |
| 43 | STALDER Florian | 58 |
| 44 | BOMMEL Henning | 75 |
| 59 | FRIEDEMANN Matthias | 75 |
| 75 | GREIPEL André | 80 |
| 77 | MARTENS Paul | 69 |
| 87 | KRAUß Sven | 81 |
| 100 | HOFFMANN Erik | 65 |