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 - 20
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Carstensen
1
69 kgClain
2
59 kgNouisri
7
74 kgHasnaoui
10
80 kgHouanard
15
70 kg
1
69 kgClain
2
59 kgNouisri
7
74 kgHasnaoui
10
80 kgHouanard
15
70 kg
Weight (KG) →
Result →
80
59
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CARSTENSEN Lucas | 69 |
| 2 | CLAIN Médéric | 59 |
| 7 | NOUISRI Ali | 74 |
| 10 | HASNAOUI Maher | 80 |
| 15 | HOUANARD Steve | 70 |