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 + 52
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Harris
6
70 kgBouchard
8
61 kgGiammarella
9
62 kgBegin
24
61 kgSt Andre
28
65 kgGuérin
61
64 kgMedina
63
64 kg
6
70 kgBouchard
8
61 kgGiammarella
9
62 kgBegin
24
61 kgSt Andre
28
65 kgGuérin
61
64 kgMedina
63
64 kg
Weight (KG) →
Result →
70
61
6
63
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | HARRIS Patrick | 70 |
| 8 | BOUCHARD Alexis | 61 |
| 9 | GIAMMARELLA Adamo | 62 |
| 24 | BEGIN Mathis | 61 |
| 28 | ST ANDRE Alex | 65 |
| 61 | GUÉRIN Étienne | 64 |
| 63 | MEDINA Joaquin | 64 |