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 = -0.6 * weight + 58
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Donati
1
75 kgRebellin
2
63 kgUllrich
4
73 kgGotti
5
65 kgBasso
6
70 kgCigana
9
74 kgAndriotto
10
68 kgKivilev
13
64 kgNardello
14
74 kgFrigo
19
66 kgCassani
20
65 kgLudewig
21
75 kgVan de Wouwer
22
66 kgZanette
23
82 kgMurn
24
70 kgPeron
25
70 kgGianetti
26
62 kgSgambelluri
29
63 kgRumšas
30
64 kgNoè
32
65 kgFreire
33
63 kgCelestino
36
67 kg
1
75 kgRebellin
2
63 kgUllrich
4
73 kgGotti
5
65 kgBasso
6
70 kgCigana
9
74 kgAndriotto
10
68 kgKivilev
13
64 kgNardello
14
74 kgFrigo
19
66 kgCassani
20
65 kgLudewig
21
75 kgVan de Wouwer
22
66 kgZanette
23
82 kgMurn
24
70 kgPeron
25
70 kgGianetti
26
62 kgSgambelluri
29
63 kgRumšas
30
64 kgNoè
32
65 kgFreire
33
63 kgCelestino
36
67 kg
Weight (KG) →
Result →
82
62
1
36
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DONATI Massimo | 75 |
| 2 | REBELLIN Davide | 63 |
| 4 | ULLRICH Jan | 73 |
| 5 | GOTTI Ivan | 65 |
| 6 | BASSO Ivan | 70 |
| 9 | CIGANA Massimo | 74 |
| 10 | ANDRIOTTO Dario | 68 |
| 13 | KIVILEV Andrei | 64 |
| 14 | NARDELLO Daniele | 74 |
| 19 | FRIGO Dario | 66 |
| 20 | CASSANI Enrico | 65 |
| 21 | LUDEWIG Jörg | 75 |
| 22 | VAN DE WOUWER Kurt | 66 |
| 23 | ZANETTE Denis | 82 |
| 24 | MURN Uroš | 70 |
| 25 | PERON Andrea | 70 |
| 26 | GIANETTI Mauro | 62 |
| 29 | SGAMBELLURI Roberto | 63 |
| 30 | RUMŠAS Raimondas | 64 |
| 32 | NOÈ Andrea | 65 |
| 33 | FREIRE Óscar | 63 |
| 36 | CELESTINO Mirko | 67 |