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 - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Bossoni
1
62 kgDuma
3
64 kgKadlec
4
70 kgEvans
5
64 kgMoreni
6
65 kgValoti
7
64 kg
1
62 kgDuma
3
64 kgKadlec
4
70 kgEvans
5
64 kgMoreni
6
65 kgValoti
7
64 kg
Weight (KG) →
Result →
70
62
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOSSONI Paolo | 62 |
| 3 | DUMA Vladimir | 64 |
| 4 | KADLEC Milan | 70 |
| 5 | EVANS Cadel | 64 |
| 6 | MORENI Cristian | 65 |
| 7 | VALOTI Paolo | 64 |