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 = 1.6 * weight + 620
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Mori
1
77 kgChiappucci
2
67 kgMazzanti
3
64 kgBertolini
5
63 kgTafi
8
73 kgSvorada
990
76 kgDjavanian
990
64 kgGontchenkov
990
74 kgPetito
990
78 kgMeier
990
69 kgDi Grande
990
58 kgValoti
990
64 kgBettini
990
58 kgUgrumov
990
58 kgBrignoli
990
78 kgZanini
990
80 kgForconi
990
71 kgCenghialta
990
73 kgBugno
990
68 kg
1
77 kgChiappucci
2
67 kgMazzanti
3
64 kgBertolini
5
63 kgTafi
8
73 kgSvorada
990
76 kgDjavanian
990
64 kgGontchenkov
990
74 kgPetito
990
78 kgMeier
990
69 kgDi Grande
990
58 kgValoti
990
64 kgBettini
990
58 kgUgrumov
990
58 kgBrignoli
990
78 kgZanini
990
80 kgForconi
990
71 kgCenghialta
990
73 kgBugno
990
68 kg
Weight (KG) →
Result →
80
58
1
990
# | Rider | Weight (KG) |
---|---|---|
1 | MORI Massimiliano | 77 |
2 | CHIAPPUCCI Claudio | 67 |
3 | MAZZANTI Luca | 64 |
5 | BERTOLINI Alessandro | 63 |
8 | TAFI Andrea | 73 |
990 | SVORADA Ján | 76 |
990 | DJAVANIAN Viatcheslav | 64 |
990 | GONTCHENKOV Alexander | 74 |
990 | PETITO Roberto | 78 |
990 | MEIER Armin | 69 |
990 | DI GRANDE Giuseppe | 58 |
990 | VALOTI Paolo | 64 |
990 | BETTINI Paolo | 58 |
990 | UGRUMOV Piotr | 58 |
990 | BRIGNOLI Ermanno | 78 |
990 | ZANINI Stefano | 80 |
990 | FORCONI Riccardo | 71 |
990 | CENGHIALTA Bruno | 73 |
990 | BUGNO Gianni | 68 |