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 = 0.7 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Costa
1
61 kgGeniets
2
73 kgMüller
3
74 kgGregaard
4
66 kgSchultz
5
60 kgBarta
9
61 kgWirtgen
10
77 kgMäder
11
61 kgJacobs
14
78 kgVingegaard
15
58 kgVeltman
22
66 kgRüegg
28
66 kgKongstad
29
75 kgvan den Berg
34
78 kgUhlmann
36
69 kgBanzer
38
56 kgAlizada
49
68 kgMengoulas
52
66 kgScaroni
54
63 kgRüegg
59
66 kgHonoré
71
68 kgRinaldi
74
65 kgNorsgaard
80
88 kg
1
61 kgGeniets
2
73 kgMüller
3
74 kgGregaard
4
66 kgSchultz
5
60 kgBarta
9
61 kgWirtgen
10
77 kgMäder
11
61 kgJacobs
14
78 kgVingegaard
15
58 kgVeltman
22
66 kgRüegg
28
66 kgKongstad
29
75 kgvan den Berg
34
78 kgUhlmann
36
69 kgBanzer
38
56 kgAlizada
49
68 kgMengoulas
52
66 kgScaroni
54
63 kgRüegg
59
66 kgHonoré
71
68 kgRinaldi
74
65 kgNorsgaard
80
88 kg
Weight (KG) →
Result →
88
56
1
80
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COSTA Adrien | 61 |
| 2 | GENIETS Kevin | 73 |
| 3 | MÜLLER Patrick | 74 |
| 4 | GREGAARD Jonas | 66 |
| 5 | SCHULTZ Jesper | 60 |
| 9 | BARTA Will | 61 |
| 10 | WIRTGEN Tom | 77 |
| 11 | MÄDER Gino | 61 |
| 14 | JACOBS Johan | 78 |
| 15 | VINGEGAARD Jonas | 58 |
| 22 | VELTMAN Milan | 66 |
| 28 | RÜEGG Lukas | 66 |
| 29 | KONGSTAD Tobias | 75 |
| 34 | VAN DEN BERG Julius | 78 |
| 36 | UHLMANN Sven | 69 |
| 38 | BANZER Gordian | 56 |
| 49 | ALIZADA Elgun | 68 |
| 52 | MENGOULAS Alex | 66 |
| 54 | SCARONI Christian | 63 |
| 59 | RÜEGG Timon | 66 |
| 71 | HONORÉ Mikkel Frølich | 68 |
| 74 | RINALDI Nicholas | 65 |
| 80 | NORSGAARD Mathias | 88 |