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 = -22.7 * weight + 2413
This means that on average for every extra kilogram weight a rider loses -22.7 positions in the result.
Karstens
10
74 kgSteevens
11
73 kgGodefroot
15
73 kgPijnen
19
72 kgRosiers
990
78 kgSchleck
990
72 kgKrekels
990
73 kgZoetemelk
990
68 kgDolman
990
71 kgSchutz
990
72 kgSaéz
990
74 kgDíaz
990
72 kgTamames
990
66 kgAja
990
66 kgLasa
990
68 kgPoulidor
990
71 kgBracke
990
79 kgParenteau
990
68 kgBilsland
990
73 kg
10
74 kgSteevens
11
73 kgGodefroot
15
73 kgPijnen
19
72 kgRosiers
990
78 kgSchleck
990
72 kgKrekels
990
73 kgZoetemelk
990
68 kgDolman
990
71 kgSchutz
990
72 kgSaéz
990
74 kgDíaz
990
72 kgTamames
990
66 kgAja
990
66 kgLasa
990
68 kgPoulidor
990
71 kgBracke
990
79 kgParenteau
990
68 kgBilsland
990
73 kg
Weight (KG) →
Result →
79
66
10
990
# | Rider | Weight (KG) |
---|---|---|
10 | KARSTENS Gerben | 74 |
11 | STEEVENS Harry | 73 |
15 | GODEFROOT Walter | 73 |
19 | PIJNEN René | 72 |
990 | ROSIERS Roger | 78 |
990 | SCHLECK Johny | 72 |
990 | KREKELS Jan | 73 |
990 | ZOETEMELK Joop | 68 |
990 | DOLMAN Evert | 71 |
990 | SCHUTZ Edy | 72 |
990 | SAÉZ Ramón | 74 |
990 | DÍAZ Ventura | 72 |
990 | TAMAMES Agustín | 66 |
990 | AJA Gonzalo | 66 |
990 | LASA Miguel María | 68 |
990 | POULIDOR Raymond | 71 |
990 | BRACKE Ferdinand | 79 |
990 | PARENTEAU Jean-Pierre | 68 |
990 | BILSLAND William | 73 |