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 - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Moreau
1
71 kgJalabert
2
68 kgJonker
3
69 kgGaumont
4
77 kgJulich
5
68 kg
1
71 kgJalabert
2
68 kgJonker
3
69 kgGaumont
4
77 kgJulich
5
68 kg
Weight (KG) →
Result →
77
68
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOREAU Christophe | 71 |
| 2 | JALABERT Nicolas | 68 |
| 3 | JONKER Patrick | 69 |
| 4 | GAUMONT Philippe | 77 |
| 5 | JULICH Bobby | 68 |