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 = 0.8 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Ferrier-Bruneau
1
53 kgCordon-Ragot
12
60 kgFerrand-Prévot
14
53 kgBresset
23
53 kgPetit
24
53 kgSicot
35
58 kg
1
53 kgCordon-Ragot
12
60 kgFerrand-Prévot
14
53 kgBresset
23
53 kgPetit
24
53 kgSicot
35
58 kg
Weight (KG) →
Result →
60
53
1
35
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FERRIER-BRUNEAU Christel | 53 |
| 12 | CORDON-RAGOT Audrey | 60 |
| 14 | FERRAND-PRÉVOT Pauline | 53 |
| 23 | BRESSET Julie | 53 |
| 24 | PETIT Marlene | 53 |
| 35 | SICOT Marion | 58 |