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 * weight + 9
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Schröder
2
64 kgTrampusch
3
60 kgGrabsch
4
81 kgSieberg
5
80 kgZabel
6
69 kgWrolich
7
68 kgCodol
8
67 kgHaselbacher
9
69 kgMartinez
11
67 kgRoberts
12
71 kgBak
13
76 kgSiedler
14
75 kgRatti
15
64 kgBecke
17
75 kgDe Schrooder
18
61 kgArvesen
19
74 kgGerosa
20
72 kgRetschke
21
66 kgKlier
23
72 kg
2
64 kgTrampusch
3
60 kgGrabsch
4
81 kgSieberg
5
80 kgZabel
6
69 kgWrolich
7
68 kgCodol
8
67 kgHaselbacher
9
69 kgMartinez
11
67 kgRoberts
12
71 kgBak
13
76 kgSiedler
14
75 kgRatti
15
64 kgBecke
17
75 kgDe Schrooder
18
61 kgArvesen
19
74 kgGerosa
20
72 kgRetschke
21
66 kgKlier
23
72 kg
Weight (KG) →
Result →
81
60
2
23
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SCHRÖDER Björn | 64 |
| 3 | TRAMPUSCH Gerhard | 60 |
| 4 | GRABSCH Ralf | 81 |
| 5 | SIEBERG Marcel | 80 |
| 6 | ZABEL Erik | 69 |
| 7 | WROLICH Peter | 68 |
| 8 | CODOL Massimo | 67 |
| 9 | HASELBACHER René | 69 |
| 11 | MARTINEZ José Alberto | 67 |
| 12 | ROBERTS Luke | 71 |
| 13 | BAK Lars Ytting | 76 |
| 14 | SIEDLER Sebastian | 75 |
| 15 | RATTI Eddy | 64 |
| 17 | BECKE Daniel | 75 |
| 18 | DE SCHROODER Benny | 61 |
| 19 | ARVESEN Kurt-Asle | 74 |
| 20 | GEROSA Mauro | 72 |
| 21 | RETSCHKE Robert | 66 |
| 23 | KLIER Andreas | 72 |