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 = 0.3 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Henao
1
61 kgPorte
2
62 kgWoods
3
62 kgJanse van Rensburg
4
74 kgBoom
5
75 kgBoaro
6
64 kgDe Gendt
8
73 kgPozzovivo
9
53 kgOliveira
10
67 kgValls
11
64 kgUlissi
12
63 kgLigthart
13
72 kgKeizer
15
72 kgTjallingii
16
81 kgGerrans
17
62 kgPantano
18
61 kgHamilton
19
71 kgWestra
20
74 kgGougeard
21
70 kgFernández
22
60 kgImpey
23
72 kgOffredo
24
69 kgHepburn
25
77 kg
1
61 kgPorte
2
62 kgWoods
3
62 kgJanse van Rensburg
4
74 kgBoom
5
75 kgBoaro
6
64 kgDe Gendt
8
73 kgPozzovivo
9
53 kgOliveira
10
67 kgValls
11
64 kgUlissi
12
63 kgLigthart
13
72 kgKeizer
15
72 kgTjallingii
16
81 kgGerrans
17
62 kgPantano
18
61 kgHamilton
19
71 kgWestra
20
74 kgGougeard
21
70 kgFernández
22
60 kgImpey
23
72 kgOffredo
24
69 kgHepburn
25
77 kg
Weight (KG) →
Result →
81
53
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HENAO Sergio | 61 |
| 2 | PORTE Richie | 62 |
| 3 | WOODS Michael | 62 |
| 4 | JANSE VAN RENSBURG Reinardt | 74 |
| 5 | BOOM Lars | 75 |
| 6 | BOARO Manuele | 64 |
| 8 | DE GENDT Thomas | 73 |
| 9 | POZZOVIVO Domenico | 53 |
| 10 | OLIVEIRA Nelson | 67 |
| 11 | VALLS Rafael | 64 |
| 12 | ULISSI Diego | 63 |
| 13 | LIGTHART Pim | 72 |
| 15 | KEIZER Martijn | 72 |
| 16 | TJALLINGII Maarten | 81 |
| 17 | GERRANS Simon | 62 |
| 18 | PANTANO Jarlinson | 61 |
| 19 | HAMILTON Lucas | 71 |
| 20 | WESTRA Lieuwe | 74 |
| 21 | GOUGEARD Alexis | 70 |
| 22 | FERNÁNDEZ Rubén | 60 |
| 23 | IMPEY Daryl | 72 |
| 24 | OFFREDO Yoann | 69 |
| 25 | HEPBURN Michael | 77 |