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 = 18.1 * weight - 535
This means that on average for every extra kilogram weight a rider loses 18.1 positions in the result.
Lasa
2
68 kgPijnen
3
72 kgZoetemelk
6
68 kgKarstens
10
74 kgSchleck
990
72 kgKrekels
990
73 kgSteevens
990
73 kgSchutz
990
72 kgDolman
990
71 kgTamames
990
66 kgSaéz
990
74 kgDíaz
990
72 kgAja
990
66 kgPoulidor
990
71 kgParenteau
990
68 kgBracke
990
79 kgGodefroot
990
73 kg
2
68 kgPijnen
3
72 kgZoetemelk
6
68 kgKarstens
10
74 kgSchleck
990
72 kgKrekels
990
73 kgSteevens
990
73 kgSchutz
990
72 kgDolman
990
71 kgTamames
990
66 kgSaéz
990
74 kgDíaz
990
72 kgAja
990
66 kgPoulidor
990
71 kgParenteau
990
68 kgBracke
990
79 kgGodefroot
990
73 kg
Weight (KG) →
Result →
79
66
2
990
# | Rider | Weight (KG) |
---|---|---|
2 | LASA Miguel María | 68 |
3 | PIJNEN René | 72 |
6 | ZOETEMELK Joop | 68 |
10 | KARSTENS Gerben | 74 |
990 | SCHLECK Johny | 72 |
990 | KREKELS Jan | 73 |
990 | STEEVENS Harry | 73 |
990 | SCHUTZ Edy | 72 |
990 | DOLMAN Evert | 71 |
990 | TAMAMES Agustín | 66 |
990 | SAÉZ Ramón | 74 |
990 | DÍAZ Ventura | 72 |
990 | AJA Gonzalo | 66 |
990 | POULIDOR Raymond | 71 |
990 | PARENTEAU Jean-Pierre | 68 |
990 | BRACKE Ferdinand | 79 |
990 | GODEFROOT Walter | 73 |