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 = 0.2 * weight + 25
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Poulidor
2
71 kgLasa
4
68 kgOvion
14
64 kgViejo
18
64 kgBourreau
24
63 kgBracke
25
79 kgParenteau
27
68 kgMortensen
30
70 kgHuelamo
34
61 kgElorriaga
36
85 kgSchleck
45
72 kgPollentier
57
62 kgVan Looy
67
75 kgDierickx
72
74 kgDe Brauwere
75
63 kgVasseur
77
67 kgMourioux
81
71 kg
2
71 kgLasa
4
68 kgOvion
14
64 kgViejo
18
64 kgBourreau
24
63 kgBracke
25
79 kgParenteau
27
68 kgMortensen
30
70 kgHuelamo
34
61 kgElorriaga
36
85 kgSchleck
45
72 kgPollentier
57
62 kgVan Looy
67
75 kgDierickx
72
74 kgDe Brauwere
75
63 kgVasseur
77
67 kgMourioux
81
71 kg
Weight (KG) →
Result →
85
61
2
81
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | POULIDOR Raymond | 71 |
| 4 | LASA Miguel María | 68 |
| 14 | OVION Régis | 64 |
| 18 | VIEJO José Luis | 64 |
| 24 | BOURREAU Bernard | 63 |
| 25 | BRACKE Ferdinand | 79 |
| 27 | PARENTEAU Jean-Pierre | 68 |
| 30 | MORTENSEN Leif | 70 |
| 34 | HUELAMO Jaime | 61 |
| 36 | ELORRIAGA Javier Francisco | 85 |
| 45 | SCHLECK Johny | 72 |
| 57 | POLLENTIER Michel | 62 |
| 67 | VAN LOOY Frans | 75 |
| 72 | DIERICKX André | 74 |
| 75 | DE BRAUWERE Lucien | 63 |
| 77 | VASSEUR Alain | 67 |
| 81 | MOURIOUX Jacques | 71 |