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 * weight + 27
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Rivière
1
63 kgGregaard
2
66 kgLisson
3
73 kgPlanckaert
4
69 kgBiermans
5
78 kgJanssen
10
76 kgRahbek
13
66 kgVan Hooydonck
15
78 kgLowyck
16
55 kgKurianov
18
74 kgPicoux
24
71 kgVan Gompel
26
70 kgWillems
28
67 kgPedersen
30
76 kgCras
34
65 kgCarbel
38
73 kgSchultz
39
60 kgVan Der Beken
43
64 kgHerremans
50
68 kgDe Plus
55
67 kgMaitre
62
71 kgGarel
63
77 kgDeruette
65
70 kg
1
63 kgGregaard
2
66 kgLisson
3
73 kgPlanckaert
4
69 kgBiermans
5
78 kgJanssen
10
76 kgRahbek
13
66 kgVan Hooydonck
15
78 kgLowyck
16
55 kgKurianov
18
74 kgPicoux
24
71 kgVan Gompel
26
70 kgWillems
28
67 kgPedersen
30
76 kgCras
34
65 kgCarbel
38
73 kgSchultz
39
60 kgVan Der Beken
43
64 kgHerremans
50
68 kgDe Plus
55
67 kgMaitre
62
71 kgGarel
63
77 kgDeruette
65
70 kg
Weight (KG) →
Result →
78
55
1
65
# | Rider | Weight (KG) |
---|---|---|
1 | RIVIÈRE David | 63 |
2 | GREGAARD Jonas | 66 |
3 | LISSON Christoffer | 73 |
4 | PLANCKAERT Emiel | 69 |
5 | BIERMANS Jenthe | 78 |
10 | JANSSEN Adriaan | 76 |
13 | RAHBEK Mads | 66 |
15 | VAN HOOYDONCK Nathan | 78 |
16 | LOWYCK Jesse | 55 |
18 | KURIANOV Stepan | 74 |
24 | PICOUX Maximilien | 71 |
26 | VAN GOMPEL Mathias | 70 |
28 | WILLEMS Thimo | 67 |
30 | PEDERSEN Mads | 76 |
34 | CRAS Steff | 65 |
38 | CARBEL Michael | 73 |
39 | SCHULTZ Jesper | 60 |
43 | VAN DER BEKEN Arno | 64 |
50 | HERREMANS Zino | 68 |
55 | DE PLUS Laurens | 67 |
62 | MAITRE Florian | 71 |
63 | GAREL Adrien | 77 |
65 | DERUETTE Thomas | 70 |