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 + 22
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Norsgaard
1
88 kgBarta
2
61 kgCôté
5
74 kgKoyama
6
58 kgTouzé
9
69 kgSchultz
21
60 kgBouhanni
22
70 kgGervais
23
72 kgZahiri
28
57 kgGregaard
31
66 kgCañaveral
36
60 kgGranigan
40
76 kgTejada
42
63 kgHoover
84
78 kgCosta
85
61 kgMagosaki
88
62 kgLarsen
91
74 kgGee
98
72 kgMaitre
106
71 kg
1
88 kgBarta
2
61 kgCôté
5
74 kgKoyama
6
58 kgTouzé
9
69 kgSchultz
21
60 kgBouhanni
22
70 kgGervais
23
72 kgZahiri
28
57 kgGregaard
31
66 kgCañaveral
36
60 kgGranigan
40
76 kgTejada
42
63 kgHoover
84
78 kgCosta
85
61 kgMagosaki
88
62 kgLarsen
91
74 kgGee
98
72 kgMaitre
106
71 kg
Weight (KG) →
Result →
88
57
1
106
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NORSGAARD Mathias | 88 |
| 2 | BARTA Will | 61 |
| 5 | CÔTÉ Pier-André | 74 |
| 6 | KOYAMA Takahiro | 58 |
| 9 | TOUZÉ Damien | 69 |
| 21 | SCHULTZ Jesper | 60 |
| 22 | BOUHANNI Rayane | 70 |
| 23 | GERVAIS Laurent | 72 |
| 28 | ZAHIRI Abderrahim | 57 |
| 31 | GREGAARD Jonas | 66 |
| 36 | CAÑAVERAL Johnatan | 60 |
| 40 | GRANIGAN Noah | 76 |
| 42 | TEJADA Harold | 63 |
| 84 | HOOVER Gavin | 78 |
| 85 | COSTA Adrien | 61 |
| 88 | MAGOSAKI Daiki | 62 |
| 91 | LARSEN Niklas | 74 |
| 98 | GEE Derek | 72 |
| 106 | MAITRE Florian | 71 |