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 = -0.2 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Kaisen
1
82 kgKostyuk
2
66 kgMinard
3
65 kgShpilevsky
5
78 kgCaethoven
6
67 kgPauwels
10
65 kg
1
82 kgKostyuk
2
66 kgMinard
3
65 kgShpilevsky
5
78 kgCaethoven
6
67 kgPauwels
10
65 kg
Weight (KG) →
Result →
82
65
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KAISEN Olivier | 82 |
| 2 | KOSTYUK Denys | 66 |
| 3 | MINARD Sébastien | 65 |
| 5 | SHPILEVSKY Boris | 78 |
| 6 | CAETHOVEN Steven | 67 |
| 10 | PAUWELS Serge | 65 |