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 - 13
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Barthélémy
1
70 kgDecroix
3
68 kgPerrain
4
75 kgGoubert
7
68 kgPreuss
8
75 kg
1
70 kgDecroix
3
68 kgPerrain
4
75 kgGoubert
7
68 kgPreuss
8
75 kg
Weight (KG) →
Result →
75
68
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARTHÉLÉMY Albert | 70 |
| 3 | DECROIX Emile | 68 |
| 4 | PERRAIN Julien | 75 |
| 7 | GOUBERT Amand | 68 |
| 8 | PREUSS Jean | 75 |