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 = 0.3 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Buysse
1
68 kgFontan
3
66 kgLeducq
4
76 kgDossche
5
75 kgVervaecke
7
70 kgFrantz
8
78 kgBenoît
9
72 kg
1
68 kgFontan
3
66 kgLeducq
4
76 kgDossche
5
75 kgVervaecke
7
70 kgFrantz
8
78 kgBenoît
9
72 kg
Weight (KG) →
Result →
78
66
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BUYSSE Lucien | 68 |
| 3 | FONTAN Victor | 66 |
| 4 | LEDUCQ André | 76 |
| 5 | DOSSCHE Aimé | 75 |
| 7 | VERVAECKE Julien | 70 |
| 8 | FRANTZ Nicolas | 78 |
| 9 | BENOÎT Adelin | 72 |