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 = -8.4 * weight + 1004
This means that on average for every extra kilogram weight a rider loses -8.4 positions in the result.
Zoetemelk
4
68 kgPoulidor
6
71 kgMerckx
10
74 kgMartin
14
62 kgSchleck
15
72 kgMortensen
18
70 kgAja
28
66 kgDíaz
34
72 kgSwerts
38
75 kgParenteau
50
68 kgVasseur
990
67 kgVan Impe
990
59 kgTamames
990
66 kgMourioux
990
71 kgTschan
990
68 kgBracke
990
79 kgKrekels
990
73 kg
4
68 kgPoulidor
6
71 kgMerckx
10
74 kgMartin
14
62 kgSchleck
15
72 kgMortensen
18
70 kgAja
28
66 kgDíaz
34
72 kgSwerts
38
75 kgParenteau
50
68 kgVasseur
990
67 kgVan Impe
990
59 kgTamames
990
66 kgMourioux
990
71 kgTschan
990
68 kgBracke
990
79 kgKrekels
990
73 kg
Weight (KG) →
Result →
79
59
4
990
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ZOETEMELK Joop | 68 |
| 6 | POULIDOR Raymond | 71 |
| 10 | MERCKX Eddy | 74 |
| 14 | MARTIN Raymond | 62 |
| 15 | SCHLECK Johny | 72 |
| 18 | MORTENSEN Leif | 70 |
| 28 | AJA Gonzalo | 66 |
| 34 | DÍAZ Ventura | 72 |
| 38 | SWERTS Roger | 75 |
| 50 | PARENTEAU Jean-Pierre | 68 |
| 990 | VASSEUR Alain | 67 |
| 990 | VAN IMPE Lucien | 59 |
| 990 | TAMAMES Agustín | 66 |
| 990 | MOURIOUX Jacques | 71 |
| 990 | TSCHAN Jürgen | 68 |
| 990 | BRACKE Ferdinand | 79 |
| 990 | KREKELS Jan | 73 |