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 = 0.4 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Geoghegan Hart
1
65 kgGaudu
2
53 kgAuer
3
73 kgFrankiny
5
67 kgPaluta
6
65 kgRavasi
7
61 kgWood
8
72 kgKnox
9
58 kgParet-Peintre
10
64 kgDeclercq
12
67 kgLambrecht
13
56 kgAlbanese
14
70 kgCras
15
65 kgVinjebo
16
67 kgSchlegel
17
72 kgCarboni
18
61 kgHoelgaard
19
74 kgCosnefroy
20
65 kgCherkasov
21
68 kgNych
24
74 kgBagioli
25
64 kgSchönberger
26
64 kgStokbro
27
70 kg
1
65 kgGaudu
2
53 kgAuer
3
73 kgFrankiny
5
67 kgPaluta
6
65 kgRavasi
7
61 kgWood
8
72 kgKnox
9
58 kgParet-Peintre
10
64 kgDeclercq
12
67 kgLambrecht
13
56 kgAlbanese
14
70 kgCras
15
65 kgVinjebo
16
67 kgSchlegel
17
72 kgCarboni
18
61 kgHoelgaard
19
74 kgCosnefroy
20
65 kgCherkasov
21
68 kgNych
24
74 kgBagioli
25
64 kgSchönberger
26
64 kgStokbro
27
70 kg
Weight (KG) →
Result →
74
53
1
27
# | Rider | Weight (KG) |
---|---|---|
1 | GEOGHEGAN HART Tao | 65 |
2 | GAUDU David | 53 |
3 | AUER Daniel | 73 |
5 | FRANKINY Kilian | 67 |
6 | PALUTA Michał | 65 |
7 | RAVASI Edward | 61 |
8 | WOOD Oliver | 72 |
9 | KNOX James | 58 |
10 | PARET-PEINTRE Aurélien | 64 |
12 | DECLERCQ Benjamin | 67 |
13 | LAMBRECHT Bjorg | 56 |
14 | ALBANESE Vincenzo | 70 |
15 | CRAS Steff | 65 |
16 | VINJEBO Emil Mielke | 67 |
17 | SCHLEGEL Michal | 72 |
18 | CARBONI Giovanni | 61 |
19 | HOELGAARD Markus | 74 |
20 | COSNEFROY Benoît | 65 |
21 | CHERKASOV Nikolay | 68 |
24 | NYCH Artem | 74 |
25 | BAGIOLI Nicola | 64 |
26 | SCHÖNBERGER Sebastian | 64 |
27 | STOKBRO Andreas | 70 |