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 = -0.8 * weight + 96
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Bouhanni
2
70 kgNorsgaard
3
88 kgMagosaki
4
62 kgTouzé
10
69 kgZahiri
12
57 kgLarsen
23
74 kgGervais
26
72 kgCañaveral
34
60 kgMaitre
35
71 kgSchultz
45
60 kgGregaard
53
66 kgTejada
57
63 kgGee
58
72 kgGranigan
63
76 kgBarta
70
61 kgHoover
71
78 kgCosta
75
61 kgKoyama
86
58 kg
2
70 kgNorsgaard
3
88 kgMagosaki
4
62 kgTouzé
10
69 kgZahiri
12
57 kgLarsen
23
74 kgGervais
26
72 kgCañaveral
34
60 kgMaitre
35
71 kgSchultz
45
60 kgGregaard
53
66 kgTejada
57
63 kgGee
58
72 kgGranigan
63
76 kgBarta
70
61 kgHoover
71
78 kgCosta
75
61 kgKoyama
86
58 kg
Weight (KG) →
Result →
88
57
2
86
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BOUHANNI Rayane | 70 |
| 3 | NORSGAARD Mathias | 88 |
| 4 | MAGOSAKI Daiki | 62 |
| 10 | TOUZÉ Damien | 69 |
| 12 | ZAHIRI Abderrahim | 57 |
| 23 | LARSEN Niklas | 74 |
| 26 | GERVAIS Laurent | 72 |
| 34 | CAÑAVERAL Johnatan | 60 |
| 35 | MAITRE Florian | 71 |
| 45 | SCHULTZ Jesper | 60 |
| 53 | GREGAARD Jonas | 66 |
| 57 | TEJADA Harold | 63 |
| 58 | GEE Derek | 72 |
| 63 | GRANIGAN Noah | 76 |
| 70 | BARTA Will | 61 |
| 71 | HOOVER Gavin | 78 |
| 75 | COSTA Adrien | 61 |
| 86 | KOYAMA Takahiro | 58 |