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 - 12
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Pirazzi
1
62 kgMartínez
2
70 kgGoddaert
3
72 kgPantano
4
61 kgCaccia
5
70 kgNibali
6
65 kgIntxausti
7
61 kgSagan
8
78 kgBetancur
9
60 kgMondory
11
66 kgBoaro
12
64 kgHorner
13
70 kgKreuziger
14
65 kgDi Luca
15
61 kgNiemiec
16
62 kgLaverde
17
63 kgSelvaggi
18
73 kgTuft
19
77 kgHoogerland
20
65 kgFailli
21
65 kgSamoilau
22
77 kgHorrach
23
70 kgHulsmans
24
75 kg
1
62 kgMartínez
2
70 kgGoddaert
3
72 kgPantano
4
61 kgCaccia
5
70 kgNibali
6
65 kgIntxausti
7
61 kgSagan
8
78 kgBetancur
9
60 kgMondory
11
66 kgBoaro
12
64 kgHorner
13
70 kgKreuziger
14
65 kgDi Luca
15
61 kgNiemiec
16
62 kgLaverde
17
63 kgSelvaggi
18
73 kgTuft
19
77 kgHoogerland
20
65 kgFailli
21
65 kgSamoilau
22
77 kgHorrach
23
70 kgHulsmans
24
75 kg
Weight (KG) →
Result →
78
60
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PIRAZZI Stefano | 62 |
| 2 | MARTÍNEZ Egoi | 70 |
| 3 | GODDAERT Kristof | 72 |
| 4 | PANTANO Jarlinson | 61 |
| 5 | CACCIA Diego | 70 |
| 6 | NIBALI Vincenzo | 65 |
| 7 | INTXAUSTI Beñat | 61 |
| 8 | SAGAN Peter | 78 |
| 9 | BETANCUR Carlos | 60 |
| 11 | MONDORY Lloyd | 66 |
| 12 | BOARO Manuele | 64 |
| 13 | HORNER Chris | 70 |
| 14 | KREUZIGER Roman | 65 |
| 15 | DI LUCA Danilo | 61 |
| 16 | NIEMIEC Przemysław | 62 |
| 17 | LAVERDE Luis Felipe | 63 |
| 18 | SELVAGGI Mirko | 73 |
| 19 | TUFT Svein | 77 |
| 20 | HOOGERLAND Johnny | 65 |
| 21 | FAILLI Francesco | 65 |
| 22 | SAMOILAU Branislau | 77 |
| 23 | HORRACH Joan Sebastian | 70 |
| 24 | HULSMANS Kevin | 75 |