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 + 45
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Verbrugghe
1
70 kgHalgand
2
67 kgSella
3
54 kgPetito
4
78 kgMiholjević
5
68 kgMoncoutié
6
69 kgAstarloza
7
72 kgFacci
8
68 kgScholz
9
60 kgMugerli
10
68 kgCalcagni
12
65 kgGoubert
13
62 kgRogers
15
74 kgBorrajo
16
76 kgStrauss
17
69 kgIglinskiy
18
67 kgDupont
19
57 kgSimoni
20
59 kgLobato
21
64 kgNiemiec
22
62 kgGustov
23
64 kgNoè
24
65 kgZaugg
33
58 kg
1
70 kgHalgand
2
67 kgSella
3
54 kgPetito
4
78 kgMiholjević
5
68 kgMoncoutié
6
69 kgAstarloza
7
72 kgFacci
8
68 kgScholz
9
60 kgMugerli
10
68 kgCalcagni
12
65 kgGoubert
13
62 kgRogers
15
74 kgBorrajo
16
76 kgStrauss
17
69 kgIglinskiy
18
67 kgDupont
19
57 kgSimoni
20
59 kgLobato
21
64 kgNiemiec
22
62 kgGustov
23
64 kgNoè
24
65 kgZaugg
33
58 kg
Weight (KG) →
Result →
78
54
1
33
# | Rider | Weight (KG) |
---|---|---|
1 | VERBRUGGHE Rik | 70 |
2 | HALGAND Patrice | 67 |
3 | SELLA Emanuele | 54 |
4 | PETITO Roberto | 78 |
5 | MIHOLJEVIĆ Vladimir | 68 |
6 | MONCOUTIÉ David | 69 |
7 | ASTARLOZA Mikel | 72 |
8 | FACCI Mauro | 68 |
9 | SCHOLZ Ronny | 60 |
10 | MUGERLI Matej | 68 |
12 | CALCAGNI Patrick | 65 |
13 | GOUBERT Stéphane | 62 |
15 | ROGERS Michael | 74 |
16 | BORRAJO Alejandro Alberto | 76 |
17 | STRAUSS Marcel | 69 |
18 | IGLINSKIY Maxim | 67 |
19 | DUPONT Hubert | 57 |
20 | SIMONI Gilberto | 59 |
21 | LOBATO Rubén | 64 |
22 | NIEMIEC Przemysław | 62 |
23 | GUSTOV Volodymyr | 64 |
24 | NOÈ Andrea | 65 |
33 | ZAUGG Oliver | 58 |