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 = 0.5 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Fothen
1
71 kgSchillinger
3
72 kgGerdemann
4
71 kgMüller
5
69 kgKnees
6
81 kgHaussler
7
74 kgGreipel
8
80 kgMartens
11
69 kgKrauß
16
81 kgBurghardt
17
75 kgRuss
21
62 kgFothen
22
71 kgEichler
27
78 kgLampater
28
75 kgBengsch
36
85 kgSieberg
37
80 kgBommel
48
75 kgMusiol
53
70 kgFriedemann
62
75 kg
1
71 kgSchillinger
3
72 kgGerdemann
4
71 kgMüller
5
69 kgKnees
6
81 kgHaussler
7
74 kgGreipel
8
80 kgMartens
11
69 kgKrauß
16
81 kgBurghardt
17
75 kgRuss
21
62 kgFothen
22
71 kgEichler
27
78 kgLampater
28
75 kgBengsch
36
85 kgSieberg
37
80 kgBommel
48
75 kgMusiol
53
70 kgFriedemann
62
75 kg
Weight (KG) →
Result →
85
62
1
62
# | Rider | Weight (KG) |
---|---|---|
1 | FOTHEN Markus | 71 |
3 | SCHILLINGER Andreas | 72 |
4 | GERDEMANN Linus | 71 |
5 | MÜLLER Christian | 69 |
6 | KNEES Christian | 81 |
7 | HAUSSLER Heinrich | 74 |
8 | GREIPEL André | 80 |
11 | MARTENS Paul | 69 |
16 | KRAUß Sven | 81 |
17 | BURGHARDT Marcus | 75 |
21 | RUSS Matthias | 62 |
22 | FOTHEN Thomas | 71 |
27 | EICHLER Markus | 78 |
28 | LAMPATER Leif | 75 |
36 | BENGSCH Robert | 85 |
37 | SIEBERG Marcel | 80 |
48 | BOMMEL Henning | 75 |
53 | MUSIOL Daniel | 70 |
62 | FRIEDEMANN Matthias | 75 |