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 = -1.1 * weight + 104
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Lafay
1
65 kgWinter
2
72 kgGodon
3
74 kgCras
7
65 kgInkelaar
8
64 kgGuglielmi
15
66 kgSix
16
72 kgReynaerts
18
67 kgAvoine
21
70 kgLambrecht
23
56 kgFiné
31
70 kgEenkhoorn
32
72 kgBouts
34
62 kgDoleatto
35
61 kgMortier
41
66 kgArnoult
49
60 kgTasset
53
63 kgCordeiro
56
65 kgBouwmans
57
64 kgPeeters
59
69 kgMuseeuw
77
68 kg
1
65 kgWinter
2
72 kgGodon
3
74 kgCras
7
65 kgInkelaar
8
64 kgGuglielmi
15
66 kgSix
16
72 kgReynaerts
18
67 kgAvoine
21
70 kgLambrecht
23
56 kgFiné
31
70 kgEenkhoorn
32
72 kgBouts
34
62 kgDoleatto
35
61 kgMortier
41
66 kgArnoult
49
60 kgTasset
53
63 kgCordeiro
56
65 kgBouwmans
57
64 kgPeeters
59
69 kgMuseeuw
77
68 kg
Weight (KG) →
Result →
74
56
1
77
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAFAY Victor | 65 |
| 2 | WINTER Laurin | 72 |
| 3 | GODON Dorian | 74 |
| 7 | CRAS Steff | 65 |
| 8 | INKELAAR Kevin | 64 |
| 15 | GUGLIELMI Simon | 66 |
| 16 | SIX Franklin | 72 |
| 18 | REYNAERTS Jan | 67 |
| 21 | AVOINE Kévin | 70 |
| 23 | LAMBRECHT Bjorg | 56 |
| 31 | FINÉ Eddy | 70 |
| 32 | EENKHOORN Pascal | 72 |
| 34 | BOUTS Jordy | 62 |
| 35 | DOLEATTO Aurélien | 61 |
| 41 | MORTIER Julien | 66 |
| 49 | ARNOULT Floryan | 60 |
| 53 | TASSET Marvin | 63 |
| 56 | CORDEIRO Damien | 65 |
| 57 | BOUWMANS Dylan | 64 |
| 59 | PEETERS Yannick | 69 |
| 77 | MUSEEUW Stefano | 68 |