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 + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Raymond
10
67 kgCouture
11
67 kgRenaud-Tremblay
15
60 kgOlejniczak
16
69 kg
10
67 kgCouture
11
67 kgRenaud-Tremblay
15
60 kgOlejniczak
16
69 kg
Weight (KG) →
Result →
69
60
10
16
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | RAYMOND Louis | 67 |
| 11 | COUTURE Samuel | 67 |
| 15 | RENAUD-TREMBLAY Sasha | 60 |
| 16 | OLEJNICZAK David | 69 |