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 + 130
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Guarnieri
1
80 kgDmitriyev
9
69 kgMerlo
11
63 kgButs
17
68 kgBenenati
25
63 kgFrapporti
27
69 kgKochetkov
29
70 kgBenedetti
41
63 kgBates
43
61 kgBlain
44
82 kgGiraud
57
71 kgMontaguti
67
65 kgMartin
70
75 kgSulzberger
93
65 kgClarke
96
68 kgCapelli
103
78 kgClarke
106
63 kgWalker
117
63 kgSilin
124
61 kgSolomennikov
126
72 kg
1
80 kgDmitriyev
9
69 kgMerlo
11
63 kgButs
17
68 kgBenenati
25
63 kgFrapporti
27
69 kgKochetkov
29
70 kgBenedetti
41
63 kgBates
43
61 kgBlain
44
82 kgGiraud
57
71 kgMontaguti
67
65 kgMartin
70
75 kgSulzberger
93
65 kgClarke
96
68 kgCapelli
103
78 kgClarke
106
63 kgWalker
117
63 kgSilin
124
61 kgSolomennikov
126
72 kg
Weight (KG) →
Result →
82
61
1
126
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUARNIERI Jacopo | 80 |
| 9 | DMITRIYEV Valeriy | 69 |
| 11 | MERLO Michele | 63 |
| 17 | BUTS Vitaliy | 68 |
| 25 | BENENATI Cristian | 63 |
| 27 | FRAPPORTI Marco | 69 |
| 29 | KOCHETKOV Pavel | 70 |
| 41 | BENEDETTI Cesare | 63 |
| 43 | BATES Gene | 61 |
| 44 | BLAIN Alexandre | 82 |
| 57 | GIRAUD Benjamin | 71 |
| 67 | MONTAGUTI Matteo | 65 |
| 70 | MARTIN Tony | 75 |
| 93 | SULZBERGER Wesley | 65 |
| 96 | CLARKE Jonathan | 68 |
| 103 | CAPELLI Ermano | 78 |
| 106 | CLARKE Simon | 63 |
| 117 | WALKER Johnnie | 63 |
| 124 | SILIN Egor | 61 |
| 126 | SOLOMENNIKOV Andrei | 72 |