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 = 0.4 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Heinschke
1
70 kgEngelhardt
3
68 kgPeter
4
63 kgMünstermann
6
75 kgVater
7
66 kgBenz
8
68 kgMayrhofer
10
70 kgRöber
11
68 kgTaebling
12
77 kgDik
14
77 kgGeßner
16
72 kgAschenbrenner
19
70 kgSteigner
21
62 kgLippmann
22
75 kgHenkelmann
31
72 kgMärkl
35
70 kgWerner
37
71 kgHeiduk
42
70 kgMaas
54
70 kg
1
70 kgEngelhardt
3
68 kgPeter
4
63 kgMünstermann
6
75 kgVater
7
66 kgBenz
8
68 kgMayrhofer
10
70 kgRöber
11
68 kgTaebling
12
77 kgDik
14
77 kgGeßner
16
72 kgAschenbrenner
19
70 kgSteigner
21
62 kgLippmann
22
75 kgHenkelmann
31
72 kgMärkl
35
70 kgWerner
37
71 kgHeiduk
42
70 kgMaas
54
70 kg
Weight (KG) →
Result →
77
62
1
54
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HEINSCHKE Leon | 70 |
| 3 | ENGELHARDT Felix | 68 |
| 4 | PETER Jannis | 63 |
| 6 | MÜNSTERMANN Per | 75 |
| 7 | VATER Erik | 66 |
| 8 | BENZ Pirmin | 68 |
| 10 | MAYRHOFER Marius | 70 |
| 11 | RÖBER Dominik | 68 |
| 12 | TAEBLING Paul | 77 |
| 14 | DIK Calvin | 77 |
| 16 | GEßNER Jakob | 72 |
| 19 | ASCHENBRENNER Michel | 70 |
| 21 | STEIGNER Kilian | 62 |
| 22 | LIPPMANN Axel | 75 |
| 31 | HENKELMANN Milan | 72 |
| 35 | MÄRKL Niklas | 70 |
| 37 | WERNER Franz | 71 |
| 42 | HEIDUK Kim | 70 |
| 54 | MAAS Jan | 70 |