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 = -0.2 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Lawless
1
72 kgMollema
2
64 kgEenkhoorn
3
72 kgRosa
4
65 kgCarapaz
5
62 kgCraddock
6
69 kgCiccone
8
58 kgBallerini
9
71 kgRota
10
62 kgMartin
11
55 kgLiepiņš
12
67 kgPedersen
13
71 kgBouwman
14
60 kgFinetto
15
62 kgCanola
16
66 kgSosa
17
52 kgFelline
18
68 kgHamilton
20
71 kgFedeli
22
65 kg
1
72 kgMollema
2
64 kgEenkhoorn
3
72 kgRosa
4
65 kgCarapaz
5
62 kgCraddock
6
69 kgCiccone
8
58 kgBallerini
9
71 kgRota
10
62 kgMartin
11
55 kgLiepiņš
12
67 kgPedersen
13
71 kgBouwman
14
60 kgFinetto
15
62 kgCanola
16
66 kgSosa
17
52 kgFelline
18
68 kgHamilton
20
71 kgFedeli
22
65 kg
Weight (KG) →
Result →
72
52
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAWLESS Chris | 72 |
| 2 | MOLLEMA Bauke | 64 |
| 3 | EENKHOORN Pascal | 72 |
| 4 | ROSA Diego | 65 |
| 5 | CARAPAZ Richard | 62 |
| 6 | CRADDOCK Lawson | 69 |
| 8 | CICCONE Giulio | 58 |
| 9 | BALLERINI Davide | 71 |
| 10 | ROTA Lorenzo | 62 |
| 11 | MARTIN Guillaume | 55 |
| 12 | LIEPIŅŠ Emīls | 67 |
| 13 | PEDERSEN Casper | 71 |
| 14 | BOUWMAN Koen | 60 |
| 15 | FINETTO Mauro | 62 |
| 16 | CANOLA Marco | 66 |
| 17 | SOSA Iván Ramiro | 52 |
| 18 | FELLINE Fabio | 68 |
| 20 | HAMILTON Lucas | 71 |
| 22 | FEDELI Alessandro | 65 |