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 + 39
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Lafay
1
65 kgCras
2
65 kgGodon
4
74 kgGuglielmi
5
66 kgInkelaar
9
64 kgReynaerts
15
67 kgEenkhoorn
17
72 kgLambrecht
18
56 kgMortier
20
66 kgDoleatto
24
61 kgAvoine
32
70 kgFiné
35
70 kgArnoult
36
60 kgBouts
45
62 kgPeeters
46
69 kgBouwmans
49
64 kgCordeiro
53
65 kgMuseeuw
71
68 kg
1
65 kgCras
2
65 kgGodon
4
74 kgGuglielmi
5
66 kgInkelaar
9
64 kgReynaerts
15
67 kgEenkhoorn
17
72 kgLambrecht
18
56 kgMortier
20
66 kgDoleatto
24
61 kgAvoine
32
70 kgFiné
35
70 kgArnoult
36
60 kgBouts
45
62 kgPeeters
46
69 kgBouwmans
49
64 kgCordeiro
53
65 kgMuseeuw
71
68 kg
Weight (KG) →
Result →
74
56
1
71
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAFAY Victor | 65 |
| 2 | CRAS Steff | 65 |
| 4 | GODON Dorian | 74 |
| 5 | GUGLIELMI Simon | 66 |
| 9 | INKELAAR Kevin | 64 |
| 15 | REYNAERTS Jan | 67 |
| 17 | EENKHOORN Pascal | 72 |
| 18 | LAMBRECHT Bjorg | 56 |
| 20 | MORTIER Julien | 66 |
| 24 | DOLEATTO Aurélien | 61 |
| 32 | AVOINE Kévin | 70 |
| 35 | FINÉ Eddy | 70 |
| 36 | ARNOULT Floryan | 60 |
| 45 | BOUTS Jordy | 62 |
| 46 | PEETERS Yannick | 69 |
| 49 | BOUWMANS Dylan | 64 |
| 53 | CORDEIRO Damien | 65 |
| 71 | MUSEEUW Stefano | 68 |