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 - 11
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Nouisri
11
74 kgCarstensen
12
69 kgClain
14
59 kgHouanard
15
70 kgHasnaoui
24
80 kg
11
74 kgCarstensen
12
69 kgClain
14
59 kgHouanard
15
70 kgHasnaoui
24
80 kg
Weight (KG) →
Result →
80
59
11
24
| # | Rider | Weight (KG) |
|---|---|---|
| 11 | NOUISRI Ali | 74 |
| 12 | CARSTENSEN Lucas | 69 |
| 14 | CLAIN Médéric | 59 |
| 15 | HOUANARD Steve | 70 |
| 24 | HASNAOUI Maher | 80 |