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 + 60
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Malacarne
1
63 kgDe Negri
3
61 kgLocatelli
6
83 kgOss
8
75 kgPasqualon
13
75 kgWalker
15
63 kgPagani
16
68 kgClarke
18
63 kgBoem
19
75 kgNechita
20
71 kgKochetkov
21
70 kgPrades
26
63 kgModolo
28
67 kgMeyer
29
68 kgPiechele
31
71 kgBoaro
32
64 kgTsatevich
35
64 kgBajc
40
65 kgSaggiorato
41
58 kgTybor
46
72 kgPavarin
47
68 kg
1
63 kgDe Negri
3
61 kgLocatelli
6
83 kgOss
8
75 kgPasqualon
13
75 kgWalker
15
63 kgPagani
16
68 kgClarke
18
63 kgBoem
19
75 kgNechita
20
71 kgKochetkov
21
70 kgPrades
26
63 kgModolo
28
67 kgMeyer
29
68 kgPiechele
31
71 kgBoaro
32
64 kgTsatevich
35
64 kgBajc
40
65 kgSaggiorato
41
58 kgTybor
46
72 kgPavarin
47
68 kg
Weight (KG) →
Result →
83
58
1
47
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MALACARNE Davide | 63 |
| 3 | DE NEGRI Pier Paolo | 61 |
| 6 | LOCATELLI Paolo | 83 |
| 8 | OSS Daniel | 75 |
| 13 | PASQUALON Andrea | 75 |
| 15 | WALKER Johnnie | 63 |
| 16 | PAGANI Angelo | 68 |
| 18 | CLARKE Simon | 63 |
| 19 | BOEM Nicola | 75 |
| 20 | NECHITA Andrei | 71 |
| 21 | KOCHETKOV Pavel | 70 |
| 26 | PRADES Eduard | 63 |
| 28 | MODOLO Sacha | 67 |
| 29 | MEYER Travis | 68 |
| 31 | PIECHELE Andrea | 71 |
| 32 | BOARO Manuele | 64 |
| 35 | TSATEVICH Alexey | 64 |
| 40 | BAJC Andi | 65 |
| 41 | SAGGIORATO Mirco | 58 |
| 46 | TYBOR Patrik | 72 |
| 47 | PAVARIN Marcello | 68 |