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 = 0.2 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Godard
1
65 kgLevel
2
64 kgGarcia
4
73 kgFréchaut
5
78 kgLe Guével
6
70 kgLachat
9
68 kgCarini
10
69 kg
1
65 kgLevel
2
64 kgGarcia
4
73 kgFréchaut
5
78 kgLe Guével
6
70 kgLachat
9
68 kgCarini
10
69 kg
Weight (KG) →
Result →
78
64
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GODARD Robert | 65 |
| 2 | LEVEL Léon | 64 |
| 4 | GARCIA Manuel | 73 |
| 5 | FRÉCHAUT Jean | 78 |
| 6 | LE GUÉVEL Lucien | 70 |
| 9 | LACHAT Georges | 68 |
| 10 | CARINI Bruno | 69 |