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 = -0.6 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Kelly
1
77 kgBauer
3
72 kgLeMond
6
67 kgWinnen
10
60 kgChiappucci
12
67 kgMadiot
20
68 kg
1
77 kgBauer
3
72 kgLeMond
6
67 kgWinnen
10
60 kgChiappucci
12
67 kgMadiot
20
68 kg
Weight (KG) →
Result →
77
60
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 3 | BAUER Steve | 72 |
| 6 | LEMOND Greg | 67 |
| 10 | WINNEN Peter | 60 |
| 12 | CHIAPPUCCI Claudio | 67 |
| 20 | MADIOT Marc | 68 |