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 + 45
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Kelly
1
77 kgDe Wilde
2
70 kgFignon
6
67 kgLeMond
7
67 kgBauer
8
72 kgDelgado
10
64 kg
1
77 kgDe Wilde
2
70 kgFignon
6
67 kgLeMond
7
67 kgBauer
8
72 kgDelgado
10
64 kg
Weight (KG) →
Result →
77
64
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 2 | DE WILDE Etienne | 70 |
| 6 | FIGNON Laurent | 67 |
| 7 | LEMOND Greg | 67 |
| 8 | BAUER Steve | 72 |
| 10 | DELGADO Pedro | 64 |