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 + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Naisse
5
74 kgLamure
6
75 kgLe Guével
7
70 kgGrimbert
8
68 kgBouvet
9
73 kgLatorre
10
63 kg
5
74 kgLamure
6
75 kgLe Guével
7
70 kgGrimbert
8
68 kgBouvet
9
73 kgLatorre
10
63 kg
Weight (KG) →
Result →
75
63
5
10
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | NAISSE Georges | 74 |
| 6 | LAMURE Lucien | 75 |
| 7 | LE GUÉVEL Lucien | 70 |
| 8 | GRIMBERT Gaston | 68 |
| 9 | BOUVET Charles | 73 |
| 10 | LATORRE Antoine | 63 |