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 + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Renoncé
2
72 kgMarie
4
80 kgMerviel
6
68 kgMallet
8
53 kgAuville
9
68 kg
2
72 kgMarie
4
80 kgMerviel
6
68 kgMallet
8
53 kgAuville
9
68 kg
Weight (KG) →
Result →
80
53
2
9
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RENONCÉ Robert | 72 |
| 4 | MARIE Yvan | 80 |
| 6 | MERVIEL Jules | 68 |
| 8 | MALLET Auguste | 53 |
| 9 | AUVILLE André | 68 |