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 = -1 * weight + 87
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Costa
1
61 kgBarta
2
61 kgCôté
5
74 kgLarsen
6
74 kgBouhanni
8
70 kgGee
10
72 kgTouzé
11
69 kgGregaard
12
66 kgGranigan
16
76 kgNorsgaard
17
88 kgTejada
19
63 kgGervais
20
72 kgHoover
22
78 kgMaitre
27
71 kgMagosaki
32
62 kgSchultz
33
60 kgKoyama
42
58 kgCañaveral
55
60 kgZahiri
62
57 kg
1
61 kgBarta
2
61 kgCôté
5
74 kgLarsen
6
74 kgBouhanni
8
70 kgGee
10
72 kgTouzé
11
69 kgGregaard
12
66 kgGranigan
16
76 kgNorsgaard
17
88 kgTejada
19
63 kgGervais
20
72 kgHoover
22
78 kgMaitre
27
71 kgMagosaki
32
62 kgSchultz
33
60 kgKoyama
42
58 kgCañaveral
55
60 kgZahiri
62
57 kg
Weight (KG) →
Result →
88
57
1
62
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COSTA Adrien | 61 |
| 2 | BARTA Will | 61 |
| 5 | CÔTÉ Pier-André | 74 |
| 6 | LARSEN Niklas | 74 |
| 8 | BOUHANNI Rayane | 70 |
| 10 | GEE Derek | 72 |
| 11 | TOUZÉ Damien | 69 |
| 12 | GREGAARD Jonas | 66 |
| 16 | GRANIGAN Noah | 76 |
| 17 | NORSGAARD Mathias | 88 |
| 19 | TEJADA Harold | 63 |
| 20 | GERVAIS Laurent | 72 |
| 22 | HOOVER Gavin | 78 |
| 27 | MAITRE Florian | 71 |
| 32 | MAGOSAKI Daiki | 62 |
| 33 | SCHULTZ Jesper | 60 |
| 42 | KOYAMA Takahiro | 58 |
| 55 | CAÑAVERAL Johnatan | 60 |
| 62 | ZAHIRI Abderrahim | 57 |