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 = -0.1 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Bouchard
9
61 kgTruffer
10
73 kgHarris
15
70 kgMedina
16
64 kgGiammarella
17
62 kg
9
61 kgTruffer
10
73 kgHarris
15
70 kgMedina
16
64 kgGiammarella
17
62 kg
Weight (KG) →
Result →
73
61
9
17
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | BOUCHARD Alexis | 61 |
| 10 | TRUFFER Carl | 73 |
| 15 | HARRIS Patrick | 70 |
| 16 | MEDINA Joaquin | 64 |
| 17 | GIAMMARELLA Adamo | 62 |