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 = -10.7 * weight + 1327
This means that on average for every extra kilogram weight a rider loses -10.7 positions in the result.
Sercu
1
76 kgThaler
3
60 kgKelly
6
77 kgVan Looy
8
75 kgBittinger
9
69 kgMerckx
59
74 kgVan Impe
67
59 kgBracke
990
79 kgLadrón
990
74 kgHinault
990
62 kgTamames
990
66 kgZoetemelk
990
68 kgPoulidor
990
71 kgMartin
990
62 kgOvion
990
64 kgBourreau
990
63 kgDierickx
990
74 kg
1
76 kgThaler
3
60 kgKelly
6
77 kgVan Looy
8
75 kgBittinger
9
69 kgMerckx
59
74 kgVan Impe
67
59 kgBracke
990
79 kgLadrón
990
74 kgHinault
990
62 kgTamames
990
66 kgZoetemelk
990
68 kgPoulidor
990
71 kgMartin
990
62 kgOvion
990
64 kgBourreau
990
63 kgDierickx
990
74 kg
Weight (KG) →
Result →
79
59
1
990
# | Rider | Weight (KG) |
---|---|---|
1 | SERCU Patrick | 76 |
3 | THALER Klaus-Peter | 60 |
6 | KELLY Sean | 77 |
8 | VAN LOOY Frans | 75 |
9 | BITTINGER René | 69 |
59 | MERCKX Eddy | 74 |
67 | VAN IMPE Lucien | 59 |
990 | BRACKE Ferdinand | 79 |
990 | LADRÓN Rafael | 74 |
990 | HINAULT Bernard | 62 |
990 | TAMAMES Agustín | 66 |
990 | ZOETEMELK Joop | 68 |
990 | POULIDOR Raymond | 71 |
990 | MARTIN Raymond | 62 |
990 | OVION Régis | 64 |
990 | BOURREAU Bernard | 63 |
990 | DIERICKX André | 74 |