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 = -17.4 * weight + 1937
This means that on average for every extra kilogram weight a rider loses -17.4 positions in the result.
Gavazzi
7
67 kgJärmann
8
73 kgVandi
18
64 kgElli
21
71 kgVanderaerden
22
74 kgBreukink
990
70 kgGiupponi
990
60 kgDelgado
990
64 kgWinnen
990
60 kgMadiot
990
68 kgWechselberger
990
71 kgChiappucci
990
67 kgSaronni
990
65 kgSørensen
990
70 kgRominger
990
65 kgPagnin
990
74 kgde Rooij
990
69 kgMauri
990
68 kgMartinello
990
71 kgCaroli
990
77 kg
7
67 kgJärmann
8
73 kgVandi
18
64 kgElli
21
71 kgVanderaerden
22
74 kgBreukink
990
70 kgGiupponi
990
60 kgDelgado
990
64 kgWinnen
990
60 kgMadiot
990
68 kgWechselberger
990
71 kgChiappucci
990
67 kgSaronni
990
65 kgSørensen
990
70 kgRominger
990
65 kgPagnin
990
74 kgde Rooij
990
69 kgMauri
990
68 kgMartinello
990
71 kgCaroli
990
77 kg
Weight (KG) →
Result →
77
60
7
990
# | Rider | Weight (KG) |
---|---|---|
7 | GAVAZZI Pierino | 67 |
8 | JÄRMANN Rolf | 73 |
18 | VANDI Alfio | 64 |
21 | ELLI Alberto | 71 |
22 | VANDERAERDEN Eric | 74 |
990 | BREUKINK Erik | 70 |
990 | GIUPPONI Flavio | 60 |
990 | DELGADO Pedro | 64 |
990 | WINNEN Peter | 60 |
990 | MADIOT Marc | 68 |
990 | WECHSELBERGER Helmut | 71 |
990 | CHIAPPUCCI Claudio | 67 |
990 | SARONNI Giuseppe | 65 |
990 | SØRENSEN Rolf | 70 |
990 | ROMINGER Tony | 65 |
990 | PAGNIN Roberto | 74 |
990 | DE ROOIJ Theo | 69 |
990 | MAURI Melchor | 68 |
990 | MARTINELLO Silvio | 71 |
990 | CAROLI Daniele | 77 |