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 = -13.9 * weight + 1785
This means that on average for every extra kilogram weight a rider loses -13.9 positions in the result.
Maertens
1
65 kgMoser
2
79 kgVan Looy
6
75 kgMerckx
990
74 kgRitter
990
74 kgTamames
990
66 kgVan Impe
990
59 kgHinault
990
62 kgMourioux
990
71 kgPoulidor
990
71 kgZoetemelk
990
68 kgOvion
990
64 kgBourreau
990
63 kgPollentier
990
62 kgGodefroot
990
73 kgDemeyer
990
85 kgMortensen
990
70 kg
1
65 kgMoser
2
79 kgVan Looy
6
75 kgMerckx
990
74 kgRitter
990
74 kgTamames
990
66 kgVan Impe
990
59 kgHinault
990
62 kgMourioux
990
71 kgPoulidor
990
71 kgZoetemelk
990
68 kgOvion
990
64 kgBourreau
990
63 kgPollentier
990
62 kgGodefroot
990
73 kgDemeyer
990
85 kgMortensen
990
70 kg
Weight (KG) →
Result →
85
59
1
990
# | Rider | Weight (KG) |
---|---|---|
1 | MAERTENS Freddy | 65 |
2 | MOSER Francesco | 79 |
6 | VAN LOOY Frans | 75 |
990 | MERCKX Eddy | 74 |
990 | RITTER Ole | 74 |
990 | TAMAMES Agustín | 66 |
990 | VAN IMPE Lucien | 59 |
990 | HINAULT Bernard | 62 |
990 | MOURIOUX Jacques | 71 |
990 | POULIDOR Raymond | 71 |
990 | ZOETEMELK Joop | 68 |
990 | OVION Régis | 64 |
990 | BOURREAU Bernard | 63 |
990 | POLLENTIER Michel | 62 |
990 | GODEFROOT Walter | 73 |
990 | DEMEYER Marc | 85 |
990 | MORTENSEN Leif | 70 |