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 = -0.6 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Jackson
1
63 kgRochette
2
53 kgPoidevin
3
56 kgBlais
4
53 kgBaril
5
56 kgMilette
11
52 kgPilote Fortin
15
55 kg
1
63 kgRochette
2
53 kgPoidevin
3
56 kgBlais
4
53 kgBaril
5
56 kgMilette
11
52 kgPilote Fortin
15
55 kg
Weight (KG) →
Result →
63
52
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JACKSON Alison | 63 |
| 2 | ROCHETTE Maghalie | 53 |
| 3 | POIDEVIN Sara | 56 |
| 4 | BLAIS Marie-Soleil | 53 |
| 5 | BARIL Olivia | 56 |
| 11 | MILETTE Laury | 52 |
| 15 | PILOTE FORTIN Gabrielle | 55 |