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 = -26.4 * weight + 2463
This means that on average for every extra kilogram weight a rider loses -26.4 positions in the result.
van Vliet
10
65 kgHerrera
990
57 kgHinault
990
62 kgZoetemelk
990
68 kgBernaudeau
990
64 kg
10
65 kgHerrera
990
57 kgHinault
990
62 kgZoetemelk
990
68 kgBernaudeau
990
64 kg
Weight (KG) →
Result →
68
57
10
990
# | Rider | Weight (KG) |
---|---|---|
10 | VAN VLIET Leo | 65 |
990 | HERRERA Luis Alberto | 57 |
990 | HINAULT Bernard | 62 |
990 | ZOETEMELK Joop | 68 |
990 | BERNAUDEAU Jean-René | 64 |