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 + 34
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Harris
7
70 kgBouchard
8
61 kgGiammarella
10
62 kgBegin
17
61 kgSt Andre
20
65 kgMedina
23
64 kgGuérin
63
64 kg
7
70 kgBouchard
8
61 kgGiammarella
10
62 kgBegin
17
61 kgSt Andre
20
65 kgMedina
23
64 kgGuérin
63
64 kg
Weight (KG) →
Result →
70
61
7
63
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | HARRIS Patrick | 70 |
| 8 | BOUCHARD Alexis | 61 |
| 10 | GIAMMARELLA Adamo | 62 |
| 17 | BEGIN Mathis | 61 |
| 20 | ST ANDRE Alex | 65 |
| 23 | MEDINA Joaquin | 64 |
| 63 | GUÉRIN Étienne | 64 |