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 = 0.1 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Ladrón
2
74 kgLasa
6
68 kgPollentier
7
62 kgDe Wolf
8
75 kgVan Impe
10
59 kgZoetemelk
11
68 kgKelly
16
77 kg
2
74 kgLasa
6
68 kgPollentier
7
62 kgDe Wolf
8
75 kgVan Impe
10
59 kgZoetemelk
11
68 kgKelly
16
77 kg
Weight (KG) →
Result →
77
59
2
16
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LADRÓN Rafael | 74 |
| 6 | LASA Miguel María | 68 |
| 7 | POLLENTIER Michel | 62 |
| 8 | DE WOLF Fons | 75 |
| 10 | VAN IMPE Lucien | 59 |
| 11 | ZOETEMELK Joop | 68 |
| 16 | KELLY Sean | 77 |