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 = 0.4 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Petito
1
78 kgChiappucci
2
67 kgBertolini
3
63 kgMori
5
77 kgDjavanian
6
64 kgMeier
7
69 kgMazzanti
8
64 kgTafi
25
73 kgDi Grande
26
58 kgValoti
31
64 kgBettini
32
58 kgUgrumov
36
58 kgGontchenkov
37
74 kgSvorada
39
76 kgBrignoli
43
78 kgZanini
44
80 kgForconi
48
71 kgCenghialta
49
73 kgBugno
50
68 kg
1
78 kgChiappucci
2
67 kgBertolini
3
63 kgMori
5
77 kgDjavanian
6
64 kgMeier
7
69 kgMazzanti
8
64 kgTafi
25
73 kgDi Grande
26
58 kgValoti
31
64 kgBettini
32
58 kgUgrumov
36
58 kgGontchenkov
37
74 kgSvorada
39
76 kgBrignoli
43
78 kgZanini
44
80 kgForconi
48
71 kgCenghialta
49
73 kgBugno
50
68 kg
Weight (KG) →
Result →
80
58
1
50
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PETITO Roberto | 78 |
| 2 | CHIAPPUCCI Claudio | 67 |
| 3 | BERTOLINI Alessandro | 63 |
| 5 | MORI Massimiliano | 77 |
| 6 | DJAVANIAN Viatcheslav | 64 |
| 7 | MEIER Armin | 69 |
| 8 | MAZZANTI Luca | 64 |
| 25 | TAFI Andrea | 73 |
| 26 | DI GRANDE Giuseppe | 58 |
| 31 | VALOTI Paolo | 64 |
| 32 | BETTINI Paolo | 58 |
| 36 | UGRUMOV Piotr | 58 |
| 37 | GONTCHENKOV Alexander | 74 |
| 39 | SVORADA Ján | 76 |
| 43 | BRIGNOLI Ermanno | 78 |
| 44 | ZANINI Stefano | 80 |
| 48 | FORCONI Riccardo | 71 |
| 49 | CENGHIALTA Bruno | 73 |
| 50 | BUGNO Gianni | 68 |