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 = -0.3 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Rominger
3
65 kgJärmann
4
73 kgBugno
5
68 kgRichard
8
67 kgDelgado
9
64 kg
3
65 kgJärmann
4
73 kgBugno
5
68 kgRichard
8
67 kgDelgado
9
64 kg
Weight (KG) →
Result →
73
64
3
9
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ROMINGER Tony | 65 |
| 4 | JÄRMANN Rolf | 73 |
| 5 | BUGNO Gianni | 68 |
| 8 | RICHARD Pascal | 67 |
| 9 | DELGADO Pedro | 64 |