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 = -1.1 * weight + 75
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Coles-Lyster
1
61 kgJackson
2
63 kgMilette
4
52 kgBlais
6
53 kgPéloquin
46
55 kg
1
61 kgJackson
2
63 kgMilette
4
52 kgBlais
6
53 kgPéloquin
46
55 kg
Weight (KG) →
Result →
63
52
1
46
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COLES-LYSTER Maggie | 61 |
| 2 | JACKSON Alison | 63 |
| 4 | MILETTE Laury | 52 |
| 6 | BLAIS Marie-Soleil | 53 |
| 46 | PÉLOQUIN Joséphine | 55 |