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 = -0.5 * weight + 56
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Bouhanni
1
70 kgNorsgaard
3
88 kgBarta
4
61 kgLarsen
5
74 kgCosta
7
61 kgGee
8
72 kgTouzé
9
69 kgGregaard
11
66 kgGranigan
14
76 kgTejada
19
63 kgMagosaki
20
62 kgMaitre
22
71 kgSchultz
23
60 kgZahiri
36
57 kgKoyama
45
58 kgHoover
63
78 kgGervais
67
72 kgCañaveral
70
60 kg
1
70 kgNorsgaard
3
88 kgBarta
4
61 kgLarsen
5
74 kgCosta
7
61 kgGee
8
72 kgTouzé
9
69 kgGregaard
11
66 kgGranigan
14
76 kgTejada
19
63 kgMagosaki
20
62 kgMaitre
22
71 kgSchultz
23
60 kgZahiri
36
57 kgKoyama
45
58 kgHoover
63
78 kgGervais
67
72 kgCañaveral
70
60 kg
Weight (KG) →
Result →
88
57
1
70
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOUHANNI Rayane | 70 |
| 3 | NORSGAARD Mathias | 88 |
| 4 | BARTA Will | 61 |
| 5 | LARSEN Niklas | 74 |
| 7 | COSTA Adrien | 61 |
| 8 | GEE Derek | 72 |
| 9 | TOUZÉ Damien | 69 |
| 11 | GREGAARD Jonas | 66 |
| 14 | GRANIGAN Noah | 76 |
| 19 | TEJADA Harold | 63 |
| 20 | MAGOSAKI Daiki | 62 |
| 22 | MAITRE Florian | 71 |
| 23 | SCHULTZ Jesper | 60 |
| 36 | ZAHIRI Abderrahim | 57 |
| 45 | KOYAMA Takahiro | 58 |
| 63 | HOOVER Gavin | 78 |
| 67 | GERVAIS Laurent | 72 |
| 70 | CAÑAVERAL Johnatan | 60 |