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 = -0.4 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Kelly
1
77 kgMarie
4
68 kgLeMond
6
67 kgDuclos-Lassalle
7
73 kgBauer
14
72 kgHoste
16
76 kgMadiot
25
68 kg
1
77 kgMarie
4
68 kgLeMond
6
67 kgDuclos-Lassalle
7
73 kgBauer
14
72 kgHoste
16
76 kgMadiot
25
68 kg
Weight (KG) →
Result →
77
67
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 4 | MARIE Thierry | 68 |
| 6 | LEMOND Greg | 67 |
| 7 | DUCLOS-LASSALLE Gilbert | 73 |
| 14 | BAUER Steve | 72 |
| 16 | HOSTE Frank | 76 |
| 25 | MADIOT Marc | 68 |