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 + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Gasparotto
1
65 kgCarrara
2
67 kgMarinangeli
4
65 kgMazzanti
5
64 kgErmeti
6
60 kgMasciarelli
7
63 kgPietropolli
8
61 kgDi Grande
12
58 kgCapecchi
14
65 kgCárdenas
16
59 kgNiemiec
17
62 kgPérez
18
68 kgPinotti
21
67 kgPidgornyy
22
72 kgAnzà
23
58 kgUrán
24
63 kgRatti
25
64 kgSella
26
54 kgAgnoli
28
72 kgMasciarelli
29
61 kgFritsch
30
65 kgMarzoli
33
61 kg
1
65 kgCarrara
2
67 kgMarinangeli
4
65 kgMazzanti
5
64 kgErmeti
6
60 kgMasciarelli
7
63 kgPietropolli
8
61 kgDi Grande
12
58 kgCapecchi
14
65 kgCárdenas
16
59 kgNiemiec
17
62 kgPérez
18
68 kgPinotti
21
67 kgPidgornyy
22
72 kgAnzà
23
58 kgUrán
24
63 kgRatti
25
64 kgSella
26
54 kgAgnoli
28
72 kgMasciarelli
29
61 kgFritsch
30
65 kgMarzoli
33
61 kg
Weight (KG) →
Result →
72
54
1
33
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GASPAROTTO Enrico | 65 |
| 2 | CARRARA Matteo | 67 |
| 4 | MARINANGELI Sergio | 65 |
| 5 | MAZZANTI Luca | 64 |
| 6 | ERMETI Giairo | 60 |
| 7 | MASCIARELLI Simone | 63 |
| 8 | PIETROPOLLI Daniele | 61 |
| 12 | DI GRANDE Giuseppe | 58 |
| 14 | CAPECCHI Eros | 65 |
| 16 | CÁRDENAS Félix Rafael | 59 |
| 17 | NIEMIEC Przemysław | 62 |
| 18 | PÉREZ Marlon Alirio | 68 |
| 21 | PINOTTI Marco | 67 |
| 22 | PIDGORNYY Ruslan | 72 |
| 23 | ANZÀ Santo | 58 |
| 24 | URÁN Rigoberto | 63 |
| 25 | RATTI Eddy | 64 |
| 26 | SELLA Emanuele | 54 |
| 28 | AGNOLI Valerio | 72 |
| 29 | MASCIARELLI Andrea | 61 |
| 30 | FRITSCH Nicolas | 65 |
| 33 | MARZOLI Ruggero | 61 |