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 = 0.4 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Merckx
2
74 kgVan Impe
3
59 kgZoetemelk
4
68 kgGimondi
6
78 kgMoser
7
79 kgKuiper
11
69 kgden Hertog
18
76 kgPoulidor
19
71 kgPollentier
23
62 kgViejo
25
64 kgRodríguez
27
70 kgOvion
28
64 kgMartin
30
62 kgBourreau
40
63 kgDemeyer
42
85 kgRitter
47
74 kgKarstens
50
74 kgGodefroot
51
73 kgAllan
85
73 kg
2
74 kgVan Impe
3
59 kgZoetemelk
4
68 kgGimondi
6
78 kgMoser
7
79 kgKuiper
11
69 kgden Hertog
18
76 kgPoulidor
19
71 kgPollentier
23
62 kgViejo
25
64 kgRodríguez
27
70 kgOvion
28
64 kgMartin
30
62 kgBourreau
40
63 kgDemeyer
42
85 kgRitter
47
74 kgKarstens
50
74 kgGodefroot
51
73 kgAllan
85
73 kg
Weight (KG) →
Result →
85
59
2
85
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MERCKX Eddy | 74 |
| 3 | VAN IMPE Lucien | 59 |
| 4 | ZOETEMELK Joop | 68 |
| 6 | GIMONDI Felice | 78 |
| 7 | MOSER Francesco | 79 |
| 11 | KUIPER Hennie | 69 |
| 18 | DEN HERTOG Fedor | 76 |
| 19 | POULIDOR Raymond | 71 |
| 23 | POLLENTIER Michel | 62 |
| 25 | VIEJO José Luis | 64 |
| 27 | RODRÍGUEZ Martín Emilio | 70 |
| 28 | OVION Régis | 64 |
| 30 | MARTIN Raymond | 62 |
| 40 | BOURREAU Bernard | 63 |
| 42 | DEMEYER Marc | 85 |
| 47 | RITTER Ole | 74 |
| 50 | KARSTENS Gerben | 74 |
| 51 | GODEFROOT Walter | 73 |
| 85 | ALLAN Donald | 73 |