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 = -0.9 * weight + 97
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Godefroot
1
73 kgKarstens
3
74 kgOvion
6
64 kgViejo
8
64 kgMoser
12
79 kgMerckx
16
74 kgDemeyer
17
85 kgAllan
18
73 kgRitter
22
74 kgRodríguez
40
70 kgVan Impe
43
59 kgKuiper
50
69 kgZoetemelk
53
68 kgBourreau
56
63 kgPollentier
57
62 kgMartin
60
62 kgGimondi
61
78 kgden Hertog
73
76 kg
1
73 kgKarstens
3
74 kgOvion
6
64 kgViejo
8
64 kgMoser
12
79 kgMerckx
16
74 kgDemeyer
17
85 kgAllan
18
73 kgRitter
22
74 kgRodríguez
40
70 kgVan Impe
43
59 kgKuiper
50
69 kgZoetemelk
53
68 kgBourreau
56
63 kgPollentier
57
62 kgMartin
60
62 kgGimondi
61
78 kgden Hertog
73
76 kg
Weight (KG) →
Result →
85
59
1
73
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GODEFROOT Walter | 73 |
| 3 | KARSTENS Gerben | 74 |
| 6 | OVION Régis | 64 |
| 8 | VIEJO José Luis | 64 |
| 12 | MOSER Francesco | 79 |
| 16 | MERCKX Eddy | 74 |
| 17 | DEMEYER Marc | 85 |
| 18 | ALLAN Donald | 73 |
| 22 | RITTER Ole | 74 |
| 40 | RODRÍGUEZ Martín Emilio | 70 |
| 43 | VAN IMPE Lucien | 59 |
| 50 | KUIPER Hennie | 69 |
| 53 | ZOETEMELK Joop | 68 |
| 56 | BOURREAU Bernard | 63 |
| 57 | POLLENTIER Michel | 62 |
| 60 | MARTIN Raymond | 62 |
| 61 | GIMONDI Felice | 78 |
| 73 | DEN HERTOG Fedor | 76 |