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.
Clain
2
59 kgCarstensen
4
69 kgNouisri
6
74 kgHouanard
11
70 kgHasnaoui
17
80 kg
2
59 kgCarstensen
4
69 kgNouisri
6
74 kgHouanard
11
70 kgHasnaoui
17
80 kg
Weight (KG) →
Result →
80
59
2
17
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CLAIN Médéric | 59 |
| 4 | CARSTENSEN Lucas | 69 |
| 6 | NOUISRI Ali | 74 |
| 11 | HOUANARD Steve | 70 |
| 17 | HASNAOUI Maher | 80 |