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 = 0.1 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Carstensen
2
69 kgNouisri
4
74 kgClain
7
59 kgHasnaoui
10
80 kgHouanard
19
70 kg
2
69 kgNouisri
4
74 kgClain
7
59 kgHasnaoui
10
80 kgHouanard
19
70 kg
Weight (KG) →
Result →
80
59
2
19
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CARSTENSEN Lucas | 69 |
| 4 | NOUISRI Ali | 74 |
| 7 | CLAIN Médéric | 59 |
| 10 | HASNAOUI Maher | 80 |
| 19 | HOUANARD Steve | 70 |