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 - 28
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Dumoulin
1
69 kgLangeveld
2
67 kgvan Emden
3
78 kgClement
4
66 kgvan Baarle
5
78 kgKeizer
6
72 kgKoning
7
77 kgFlens
8
82 kgDekker
9
69 kgTerpstra
10
75 kgBeukeboom
11
88 kgvan Goethem
12
77 kgTjallingii
13
81 kgAsselman
14
69 kgSchoonbroodt
17
78 kgde Vries
18
70 kgOostlander
19
78 kgEefting-Bloem
22
75 kgvan Lakerveld
31
85 kg
1
69 kgLangeveld
2
67 kgvan Emden
3
78 kgClement
4
66 kgvan Baarle
5
78 kgKeizer
6
72 kgKoning
7
77 kgFlens
8
82 kgDekker
9
69 kgTerpstra
10
75 kgBeukeboom
11
88 kgvan Goethem
12
77 kgTjallingii
13
81 kgAsselman
14
69 kgSchoonbroodt
17
78 kgde Vries
18
70 kgOostlander
19
78 kgEefting-Bloem
22
75 kgvan Lakerveld
31
85 kg
Weight (KG) →
Result →
88
66
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUMOULIN Tom | 69 |
| 2 | LANGEVELD Sebastian | 67 |
| 3 | VAN EMDEN Jos | 78 |
| 4 | CLEMENT Stef | 66 |
| 5 | VAN BAARLE Dylan | 78 |
| 6 | KEIZER Martijn | 72 |
| 7 | KONING Peter | 77 |
| 8 | FLENS Rick | 82 |
| 9 | DEKKER Thomas | 69 |
| 10 | TERPSTRA Niki | 75 |
| 11 | BEUKEBOOM Dion | 88 |
| 12 | VAN GOETHEM Brian | 77 |
| 13 | TJALLINGII Maarten | 81 |
| 14 | ASSELMAN Jesper | 69 |
| 17 | SCHOONBROODT Bob | 78 |
| 18 | DE VRIES Berden | 70 |
| 19 | OOSTLANDER Sander | 78 |
| 22 | EEFTING-BLOEM Roy | 75 |
| 31 | VAN LAKERVELD Erik | 85 |