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 - 15
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Touzé
1
69 kgCañaveral
2
60 kgGervais
6
72 kgCôté
12
74 kgGregaard
18
66 kgMagosaki
19
62 kgGranigan
21
76 kgCosta
22
61 kgBouhanni
25
70 kgZahiri
28
57 kgTejada
34
63 kgBarta
42
61 kgHoover
44
78 kgKoyama
55
58 kgGee
56
72 kgLarsen
71
74 kgMaitre
72
71 kgNorsgaard
84
88 kgSchultz
93
60 kg
1
69 kgCañaveral
2
60 kgGervais
6
72 kgCôté
12
74 kgGregaard
18
66 kgMagosaki
19
62 kgGranigan
21
76 kgCosta
22
61 kgBouhanni
25
70 kgZahiri
28
57 kgTejada
34
63 kgBarta
42
61 kgHoover
44
78 kgKoyama
55
58 kgGee
56
72 kgLarsen
71
74 kgMaitre
72
71 kgNorsgaard
84
88 kgSchultz
93
60 kg
Weight (KG) →
Result →
88
57
1
93
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TOUZÉ Damien | 69 |
| 2 | CAÑAVERAL Johnatan | 60 |
| 6 | GERVAIS Laurent | 72 |
| 12 | CÔTÉ Pier-André | 74 |
| 18 | GREGAARD Jonas | 66 |
| 19 | MAGOSAKI Daiki | 62 |
| 21 | GRANIGAN Noah | 76 |
| 22 | COSTA Adrien | 61 |
| 25 | BOUHANNI Rayane | 70 |
| 28 | ZAHIRI Abderrahim | 57 |
| 34 | TEJADA Harold | 63 |
| 42 | BARTA Will | 61 |
| 44 | HOOVER Gavin | 78 |
| 55 | KOYAMA Takahiro | 58 |
| 56 | GEE Derek | 72 |
| 71 | LARSEN Niklas | 74 |
| 72 | MAITRE Florian | 71 |
| 84 | NORSGAARD Mathias | 88 |
| 93 | SCHULTZ Jesper | 60 |