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 = -0.3 * weight + 57
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Bouhanni
1
70 kgTouzé
5
69 kgCôté
11
74 kgZahiri
12
57 kgMagosaki
13
62 kgGranigan
14
76 kgMaitre
17
71 kgGervais
28
72 kgTejada
30
63 kgSchultz
38
60 kgGee
48
72 kgHoover
58
78 kgKoyama
59
58 kgGregaard
60
66 kgNorsgaard
63
88 kgLarsen
64
74 kgCosta
66
61 kgBarta
70
61 kgCañaveral
93
60 kg
1
70 kgTouzé
5
69 kgCôté
11
74 kgZahiri
12
57 kgMagosaki
13
62 kgGranigan
14
76 kgMaitre
17
71 kgGervais
28
72 kgTejada
30
63 kgSchultz
38
60 kgGee
48
72 kgHoover
58
78 kgKoyama
59
58 kgGregaard
60
66 kgNorsgaard
63
88 kgLarsen
64
74 kgCosta
66
61 kgBarta
70
61 kgCañaveral
93
60 kg
Weight (KG) →
Result →
88
57
1
93
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOUHANNI Rayane | 70 |
| 5 | TOUZÉ Damien | 69 |
| 11 | CÔTÉ Pier-André | 74 |
| 12 | ZAHIRI Abderrahim | 57 |
| 13 | MAGOSAKI Daiki | 62 |
| 14 | GRANIGAN Noah | 76 |
| 17 | MAITRE Florian | 71 |
| 28 | GERVAIS Laurent | 72 |
| 30 | TEJADA Harold | 63 |
| 38 | SCHULTZ Jesper | 60 |
| 48 | GEE Derek | 72 |
| 58 | HOOVER Gavin | 78 |
| 59 | KOYAMA Takahiro | 58 |
| 60 | GREGAARD Jonas | 66 |
| 63 | NORSGAARD Mathias | 88 |
| 64 | LARSEN Niklas | 74 |
| 66 | COSTA Adrien | 61 |
| 70 | BARTA Will | 61 |
| 93 | CAÑAVERAL Johnatan | 60 |