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 = -0.4 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Voigt
1
76 kgMorin
3
79 kgBaffi
4
70 kgMcEwen
5
67 kgAgnolutto
7
69 kgSaugrain
9
62 kg
1
76 kgMorin
3
79 kgBaffi
4
70 kgMcEwen
5
67 kgAgnolutto
7
69 kgSaugrain
9
62 kg
Weight (KG) →
Result →
79
62
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VOIGT Jens | 76 |
| 3 | MORIN Anthony | 79 |
| 4 | BAFFI Adriano | 70 |
| 5 | MCEWEN Robbie | 67 |
| 7 | AGNOLUTTO Christophe | 69 |
| 9 | SAUGRAIN Cyril | 62 |