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:
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Doleatto
1
61 kgGuglielmi
3
66 kgGodon
10
74 kgEenkhoorn
11
72 kgLambrecht
14
56 kgCras
16
65 kgInkelaar
17
64 kgReynaerts
18
67 kgLafay
20
65 kgMortier
21
66 kgArnoult
23
60 kgPeeters
35
69 kgAvoine
39
70 kgFiné
42
70 kgBouwmans
46
64 kgBouts
50
62 kgCordeiro
54
65 kgMuseeuw
67
68 kg
1
61 kgGuglielmi
3
66 kgGodon
10
74 kgEenkhoorn
11
72 kgLambrecht
14
56 kgCras
16
65 kgInkelaar
17
64 kgReynaerts
18
67 kgLafay
20
65 kgMortier
21
66 kgArnoult
23
60 kgPeeters
35
69 kgAvoine
39
70 kgFiné
42
70 kgBouwmans
46
64 kgBouts
50
62 kgCordeiro
54
65 kgMuseeuw
67
68 kg
Weight (KG) →
Result →
74
56
1
67
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DOLEATTO Aurélien | 61 |
| 3 | GUGLIELMI Simon | 66 |
| 10 | GODON Dorian | 74 |
| 11 | EENKHOORN Pascal | 72 |
| 14 | LAMBRECHT Bjorg | 56 |
| 16 | CRAS Steff | 65 |
| 17 | INKELAAR Kevin | 64 |
| 18 | REYNAERTS Jan | 67 |
| 20 | LAFAY Victor | 65 |
| 21 | MORTIER Julien | 66 |
| 23 | ARNOULT Floryan | 60 |
| 35 | PEETERS Yannick | 69 |
| 39 | AVOINE Kévin | 70 |
| 42 | FINÉ Eddy | 70 |
| 46 | BOUWMANS Dylan | 64 |
| 50 | BOUTS Jordy | 62 |
| 54 | CORDEIRO Damien | 65 |
| 67 | MUSEEUW Stefano | 68 |