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.
Speicher
1
73 kgMerviel
2
68 kgDemuysere
3
78 kgVan Rysselberghe
5
78 kgRinaldi
6
71 kg
1
73 kgMerviel
2
68 kgDemuysere
3
78 kgVan Rysselberghe
5
78 kgRinaldi
6
71 kg
Weight (KG) →
Result →
78
68
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SPEICHER Georges | 73 |
| 2 | MERVIEL Jules | 68 |
| 3 | DEMUYSERE Joseph | 78 |
| 5 | VAN RYSSELBERGHE Bernard | 78 |
| 6 | RINALDI Gaspard | 71 |