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 + 14
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Porzner
1
75 kgHonoré
3
68 kgDe Poorter
4
68 kgMenten
6
68 kgMandrysch
7
73 kgShaw
12
63 kgAerts
13
76 kgDe Decker
14
68 kgIserbyt
15
55 kgGregaard
17
66 kgZimmermann
19
70 kgvan den Berg
21
78 kgJägeler
24
71 kgFrahm
25
90 kgTreubel
28
79 kgSchinnagel
32
68 kgFranz
37
62 kgMengoulas
39
66 kgHenn
48
64 kgBeullens
49
79 kg
1
75 kgHonoré
3
68 kgDe Poorter
4
68 kgMenten
6
68 kgMandrysch
7
73 kgShaw
12
63 kgAerts
13
76 kgDe Decker
14
68 kgIserbyt
15
55 kgGregaard
17
66 kgZimmermann
19
70 kgvan den Berg
21
78 kgJägeler
24
71 kgFrahm
25
90 kgTreubel
28
79 kgSchinnagel
32
68 kgFranz
37
62 kgMengoulas
39
66 kgHenn
48
64 kgBeullens
49
79 kg
Weight (KG) →
Result →
90
55
1
49
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PORZNER Manuel | 75 |
| 3 | HONORÉ Mikkel Frølich | 68 |
| 4 | DE POORTER Maxime | 68 |
| 6 | MENTEN Milan | 68 |
| 7 | MANDRYSCH John | 73 |
| 12 | SHAW James | 63 |
| 13 | AERTS Thijs | 76 |
| 14 | DE DECKER Alfdan | 68 |
| 15 | ISERBYT Eli | 55 |
| 17 | GREGAARD Jonas | 66 |
| 19 | ZIMMERMANN Georg | 70 |
| 21 | VAN DEN BERG Julius | 78 |
| 24 | JÄGELER Robert | 71 |
| 25 | FRAHM Jasper | 90 |
| 28 | TREUBEL Pascal | 79 |
| 32 | SCHINNAGEL Johannes | 68 |
| 37 | FRANZ Marcel | 62 |
| 39 | MENGOULAS Alex | 66 |
| 48 | HENN Luca | 64 |
| 49 | BEULLENS Cedric | 79 |