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 + 30
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Wohlberg
3
63 kgFrattini
8
63 kgHorner
11
70 kgFraser
12
71 kgEuser
34
56 kgMitchell
46
70 kg
3
63 kgFrattini
8
63 kgHorner
11
70 kgFraser
12
71 kgEuser
34
56 kgMitchell
46
70 kg
Weight (KG) →
Result →
71
56
3
46
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | WOHLBERG Eric | 63 |
| 8 | FRATTINI Davide | 63 |
| 11 | HORNER Chris | 70 |
| 12 | FRASER Gordon | 71 |
| 34 | EUSER Lucas | 56 |
| 46 | MITCHELL Glen | 70 |