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 = 53.8 * weight - 3263
This means that on average for every extra kilogram weight a rider loses 53.8 positions in the result.
Poulidor
2
71 kgZoetemelk
3
68 kgMortensen
5
70 kgMerckx
6
74 kgVan Impe
27
59 kgAja
28
66 kgMartin
39
62 kgTschan
45
68 kgTamames
47
66 kgSwerts
990
75 kgSchleck
990
72 kgVasseur
990
67 kgDíaz
990
72 kgMourioux
990
71 kgBracke
990
79 kgParenteau
990
68 kgKrekels
990
73 kg
2
71 kgZoetemelk
3
68 kgMortensen
5
70 kgMerckx
6
74 kgVan Impe
27
59 kgAja
28
66 kgMartin
39
62 kgTschan
45
68 kgTamames
47
66 kgSwerts
990
75 kgSchleck
990
72 kgVasseur
990
67 kgDíaz
990
72 kgMourioux
990
71 kgBracke
990
79 kgParenteau
990
68 kgKrekels
990
73 kg
Weight (KG) →
Result →
79
59
2
990
# | Rider | Weight (KG) |
---|---|---|
2 | POULIDOR Raymond | 71 |
3 | ZOETEMELK Joop | 68 |
5 | MORTENSEN Leif | 70 |
6 | MERCKX Eddy | 74 |
27 | VAN IMPE Lucien | 59 |
28 | AJA Gonzalo | 66 |
39 | MARTIN Raymond | 62 |
45 | TSCHAN Jürgen | 68 |
47 | TAMAMES Agustín | 66 |
990 | SWERTS Roger | 75 |
990 | SCHLECK Johny | 72 |
990 | VASSEUR Alain | 67 |
990 | DÍAZ Ventura | 72 |
990 | MOURIOUX Jacques | 71 |
990 | BRACKE Ferdinand | 79 |
990 | PARENTEAU Jean-Pierre | 68 |
990 | KREKELS Jan | 73 |