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 + 17
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Maitre
6
71 kgTouzé
7
69 kgLarsen
8
74 kgZahiri
9
57 kgCañaveral
13
60 kgGranigan
22
76 kgSchultz
23
60 kgBouhanni
25
70 kgTejada
42
63 kgGee
48
72 kgGregaard
53
66 kgNorsgaard
59
88 kgBarta
67
61 kgCosta
69
61 kgKoyama
77
58 kgCôté
101
74 kgHoover
112
78 kgGervais
119
72 kgMagosaki
138
62 kg
6
71 kgTouzé
7
69 kgLarsen
8
74 kgZahiri
9
57 kgCañaveral
13
60 kgGranigan
22
76 kgSchultz
23
60 kgBouhanni
25
70 kgTejada
42
63 kgGee
48
72 kgGregaard
53
66 kgNorsgaard
59
88 kgBarta
67
61 kgCosta
69
61 kgKoyama
77
58 kgCôté
101
74 kgHoover
112
78 kgGervais
119
72 kgMagosaki
138
62 kg
Weight (KG) →
Result →
88
57
6
138
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | MAITRE Florian | 71 |
| 7 | TOUZÉ Damien | 69 |
| 8 | LARSEN Niklas | 74 |
| 9 | ZAHIRI Abderrahim | 57 |
| 13 | CAÑAVERAL Johnatan | 60 |
| 22 | GRANIGAN Noah | 76 |
| 23 | SCHULTZ Jesper | 60 |
| 25 | BOUHANNI Rayane | 70 |
| 42 | TEJADA Harold | 63 |
| 48 | GEE Derek | 72 |
| 53 | GREGAARD Jonas | 66 |
| 59 | NORSGAARD Mathias | 88 |
| 67 | BARTA Will | 61 |
| 69 | COSTA Adrien | 61 |
| 77 | KOYAMA Takahiro | 58 |
| 101 | CÔTÉ Pier-André | 74 |
| 112 | HOOVER Gavin | 78 |
| 119 | GERVAIS Laurent | 72 |
| 138 | MAGOSAKI Daiki | 62 |