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 + 10
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Pé
1
68 kgMottiat
2
65 kgBidot
3
78 kgVerdyck
4
78 kgDejonghe
5
81 kgBenoît
7
72 kgBuysse
8
68 kgChristophe
10
67 kg
1
68 kgMottiat
2
65 kgBidot
3
78 kgVerdyck
4
78 kgDejonghe
5
81 kgBenoît
7
72 kgBuysse
8
68 kgChristophe
10
67 kg
Weight (KG) →
Result →
81
65
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PÉ Joseph | 68 |
| 2 | MOTTIAT Louis | 65 |
| 3 | BIDOT Marcel | 78 |
| 4 | VERDYCK August | 78 |
| 5 | DEJONGHE Albert | 81 |
| 7 | BENOÎT Adelin | 72 |
| 8 | BUYSSE Lucien | 68 |
| 10 | CHRISTOPHE Eugène | 67 |