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 = 1.8 * weight + 725
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
Maertens
4
65 kgKarstens
6
74 kgGilson
7
70 kgGaida
990
65 kgSzurkowski
990
77 kgDierickx
990
74 kgBracke
990
79 kgSchuiten
990
83 kgLloyd
990
76 kgMerckx
990
74 kgRosiers
990
78 kgAja
990
66 kgHinault
990
62 kgMartin
990
62 kgVan Impe
990
59 kgBaronchelli
990
72 kgZoetemelk
990
68 kgPoulidor
990
71 kgOvion
990
64 kgPollentier
990
62 kgGodefroot
990
73 kg
4
65 kgKarstens
6
74 kgGilson
7
70 kgGaida
990
65 kgSzurkowski
990
77 kgDierickx
990
74 kgBracke
990
79 kgSchuiten
990
83 kgLloyd
990
76 kgMerckx
990
74 kgRosiers
990
78 kgAja
990
66 kgHinault
990
62 kgMartin
990
62 kgVan Impe
990
59 kgBaronchelli
990
72 kgZoetemelk
990
68 kgPoulidor
990
71 kgOvion
990
64 kgPollentier
990
62 kgGodefroot
990
73 kg
Weight (KG) →
Result →
83
59
4
990
# | Rider | Weight (KG) |
---|---|---|
4 | MAERTENS Freddy | 65 |
6 | KARSTENS Gerben | 74 |
7 | GILSON Roger | 70 |
990 | GAIDA Alfred | 65 |
990 | SZURKOWSKI Ryszard | 77 |
990 | DIERICKX André | 74 |
990 | BRACKE Ferdinand | 79 |
990 | SCHUITEN Roy | 83 |
990 | LLOYD Dave | 76 |
990 | MERCKX Eddy | 74 |
990 | ROSIERS Roger | 78 |
990 | AJA Gonzalo | 66 |
990 | HINAULT Bernard | 62 |
990 | MARTIN Raymond | 62 |
990 | VAN IMPE Lucien | 59 |
990 | BARONCHELLI Gianbattista | 72 |
990 | ZOETEMELK Joop | 68 |
990 | POULIDOR Raymond | 71 |
990 | OVION Régis | 64 |
990 | POLLENTIER Michel | 62 |
990 | GODEFROOT Walter | 73 |