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 = -14.4 * weight + 1727
This means that on average for every extra kilogram weight a rider loses -14.4 positions in the result.
Karstens
1
74 kgDolman
3
71 kgGodefroot
4
73 kgLasa
5
68 kgKrekels
7
73 kgSchleck
990
72 kgPijnen
990
72 kgSteevens
990
73 kgZoetemelk
990
68 kgSchutz
990
72 kgDíaz
990
72 kgSaéz
990
74 kgTamames
990
66 kgAja
990
66 kgPoulidor
990
71 kgBracke
990
79 kgParenteau
990
68 kg
1
74 kgDolman
3
71 kgGodefroot
4
73 kgLasa
5
68 kgKrekels
7
73 kgSchleck
990
72 kgPijnen
990
72 kgSteevens
990
73 kgZoetemelk
990
68 kgSchutz
990
72 kgDíaz
990
72 kgSaéz
990
74 kgTamames
990
66 kgAja
990
66 kgPoulidor
990
71 kgBracke
990
79 kgParenteau
990
68 kg
Weight (KG) →
Result →
79
66
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KARSTENS Gerben | 74 |
| 3 | DOLMAN Evert | 71 |
| 4 | GODEFROOT Walter | 73 |
| 5 | LASA Miguel María | 68 |
| 7 | KREKELS Jan | 73 |
| 990 | SCHLECK Johny | 72 |
| 990 | PIJNEN René | 72 |
| 990 | STEEVENS Harry | 73 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | SCHUTZ Edy | 72 |
| 990 | DÍAZ Ventura | 72 |
| 990 | SAÉZ Ramón | 74 |
| 990 | TAMAMES Agustín | 66 |
| 990 | AJA Gonzalo | 66 |
| 990 | POULIDOR Raymond | 71 |
| 990 | BRACKE Ferdinand | 79 |
| 990 | PARENTEAU Jean-Pierre | 68 |