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 = 0.4 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Clain
2
59 kgCarstensen
3
69 kgNouisri
4
74 kgHasnaoui
11
80 kgHouanard
16
70 kg
2
59 kgCarstensen
3
69 kgNouisri
4
74 kgHasnaoui
11
80 kgHouanard
16
70 kg
Weight (KG) →
Result →
80
59
2
16
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CLAIN Médéric | 59 |
| 3 | CARSTENSEN Lucas | 69 |
| 4 | NOUISRI Ali | 74 |
| 11 | HASNAOUI Maher | 80 |
| 16 | HOUANARD Steve | 70 |