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 = -0.1 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Sobrero
1
63 kgAffini
2
80 kgCattaneo
3
67 kgGanna
4
83 kgFelline
5
68 kgRivi
6
72 kgTiberi
7
62 kgColleoni
8
66 kgBevilacqua
9
75 kgBais
10
66 kgFrapporti
11
69 kgMarengo
12
69 kgFrapporti
13
74 kgKonychev
14
76 kgMaestri
15
73 kgViel
16
72 kgTagliani
17
70 kgMazzucco
18
69 kgVenchiarutti
20
64 kg
1
63 kgAffini
2
80 kgCattaneo
3
67 kgGanna
4
83 kgFelline
5
68 kgRivi
6
72 kgTiberi
7
62 kgColleoni
8
66 kgBevilacqua
9
75 kgBais
10
66 kgFrapporti
11
69 kgMarengo
12
69 kgFrapporti
13
74 kgKonychev
14
76 kgMaestri
15
73 kgViel
16
72 kgTagliani
17
70 kgMazzucco
18
69 kgVenchiarutti
20
64 kg
Weight (KG) →
Result →
83
62
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOBRERO Matteo | 63 |
| 2 | AFFINI Edoardo | 80 |
| 3 | CATTANEO Mattia | 67 |
| 4 | GANNA Filippo | 83 |
| 5 | FELLINE Fabio | 68 |
| 6 | RIVI Samuele | 72 |
| 7 | TIBERI Antonio | 62 |
| 8 | COLLEONI Kevin | 66 |
| 9 | BEVILACQUA Simone | 75 |
| 10 | BAIS Davide | 66 |
| 11 | FRAPPORTI Marco | 69 |
| 12 | MARENGO Umberto | 69 |
| 13 | FRAPPORTI Mattia | 74 |
| 14 | KONYCHEV Alexander | 76 |
| 15 | MAESTRI Mirco | 73 |
| 16 | VIEL Mattia | 72 |
| 17 | TAGLIANI Filippo | 70 |
| 18 | MAZZUCCO Fabio | 69 |
| 20 | VENCHIARUTTI Nicola | 64 |