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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Swart
2
74 kgChiappucci
5
67 kgJalabert
6
66 kgSerpellini
8
75 kgBelli
9
64 kg
2
74 kgChiappucci
5
67 kgJalabert
6
66 kgSerpellini
8
75 kgBelli
9
64 kg
Weight (KG) →
Result →
75
64
2
9
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SWART Steve | 74 |
| 5 | CHIAPPUCCI Claudio | 67 |
| 6 | JALABERT Laurent | 66 |
| 8 | SERPELLINI Marco | 75 |
| 9 | BELLI Wladimir | 64 |