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 = -0.2 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Ganna
1
83 kgBettiol
2
69 kgDe Marchi
3
65 kgAffini
4
80 kgMoscon
5
71 kgMarengo
6
69 kgFelline
7
68 kgCattaneo
8
67 kgBoaro
9
64 kgGabburo
10
63 kgMartinelli
12
71 kgFrapporti
13
69 kgTonelli
14
64 kgSpreafico
15
69 kgMosca
17
65 kgCima
18
70 kgTaschin
19
56 kgMaestri
20
73 kgBevilacqua
22
75 kgPessot
23
75 kg
1
83 kgBettiol
2
69 kgDe Marchi
3
65 kgAffini
4
80 kgMoscon
5
71 kgMarengo
6
69 kgFelline
7
68 kgCattaneo
8
67 kgBoaro
9
64 kgGabburo
10
63 kgMartinelli
12
71 kgFrapporti
13
69 kgTonelli
14
64 kgSpreafico
15
69 kgMosca
17
65 kgCima
18
70 kgTaschin
19
56 kgMaestri
20
73 kgBevilacqua
22
75 kgPessot
23
75 kg
Weight (KG) →
Result →
83
56
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GANNA Filippo | 83 |
| 2 | BETTIOL Alberto | 69 |
| 3 | DE MARCHI Alessandro | 65 |
| 4 | AFFINI Edoardo | 80 |
| 5 | MOSCON Gianni | 71 |
| 6 | MARENGO Umberto | 69 |
| 7 | FELLINE Fabio | 68 |
| 8 | CATTANEO Mattia | 67 |
| 9 | BOARO Manuele | 64 |
| 10 | GABBURO Davide | 63 |
| 12 | MARTINELLI Davide | 71 |
| 13 | FRAPPORTI Marco | 69 |
| 14 | TONELLI Alessandro | 64 |
| 15 | SPREAFICO Matteo | 69 |
| 17 | MOSCA Jacopo | 65 |
| 18 | CIMA Damiano | 70 |
| 19 | TASCHIN Luca | 56 |
| 20 | MAESTRI Mirco | 73 |
| 22 | BEVILACQUA Simone | 75 |
| 23 | PESSOT Alessandro | 75 |