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 = -0.5 * weight + 45
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Naisse
1
74 kgGrimbert
2
68 kgLe Guével
3
70 kgBouvet
5
73 kgLamure
6
75 kgDenhez
22
70 kg
1
74 kgGrimbert
2
68 kgLe Guével
3
70 kgBouvet
5
73 kgLamure
6
75 kgDenhez
22
70 kg
Weight (KG) →
Result →
75
68
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NAISSE Georges | 74 |
| 2 | GRIMBERT Gaston | 68 |
| 3 | LE GUÉVEL Lucien | 70 |
| 5 | BOUVET Charles | 73 |
| 6 | LAMURE Lucien | 75 |
| 22 | DENHEZ Aimable | 70 |