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 - 14
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Mayrhofer
1
70 kgGeßner
2
72 kgHeiduk
3
70 kgHeinschke
4
70 kgMärkl
5
70 kgMünstermann
7
75 kgVater
8
66 kgBenz
13
68 kgEngelhardt
15
68 kgTaebling
16
77 kgRöber
20
68 kgSteigner
21
62 kgRaßmann
25
60 kgBockelmann
29
67 kgPakalski
37
74 kgAschenbrenner
38
70 kgWille
40
73 kgWerner
41
71 kgLippmann
42
75 kgHenkelmann
43
72 kg
1
70 kgGeßner
2
72 kgHeiduk
3
70 kgHeinschke
4
70 kgMärkl
5
70 kgMünstermann
7
75 kgVater
8
66 kgBenz
13
68 kgEngelhardt
15
68 kgTaebling
16
77 kgRöber
20
68 kgSteigner
21
62 kgRaßmann
25
60 kgBockelmann
29
67 kgPakalski
37
74 kgAschenbrenner
38
70 kgWille
40
73 kgWerner
41
71 kgLippmann
42
75 kgHenkelmann
43
72 kg
Weight (KG) →
Result →
77
60
1
43
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAYRHOFER Marius | 70 |
| 2 | GEßNER Jakob | 72 |
| 3 | HEIDUK Kim | 70 |
| 4 | HEINSCHKE Leon | 70 |
| 5 | MÄRKL Niklas | 70 |
| 7 | MÜNSTERMANN Per | 75 |
| 8 | VATER Erik | 66 |
| 13 | BENZ Pirmin | 68 |
| 15 | ENGELHARDT Felix | 68 |
| 16 | TAEBLING Paul | 77 |
| 20 | RÖBER Dominik | 68 |
| 21 | STEIGNER Kilian | 62 |
| 25 | RAßMANN Frederik | 60 |
| 29 | BOCKELMANN Luca | 67 |
| 37 | PAKALSKI Henrik | 74 |
| 38 | ASCHENBRENNER Michel | 70 |
| 40 | WILLE Markus | 73 |
| 41 | WERNER Franz | 71 |
| 42 | LIPPMANN Axel | 75 |
| 43 | HENKELMANN Milan | 72 |