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 = -3.6 * weight + 253
This means that on average for every extra kilogram weight a rider loses -3.6 positions in the result.
Fraser
2
71 kgWohlberg
3
63 kgHorner
6
70 kgMitchell
12
70 kgFrattini
27
63 kgEuser
67
56 kg
2
71 kgWohlberg
3
63 kgHorner
6
70 kgMitchell
12
70 kgFrattini
27
63 kgEuser
67
56 kg
Weight (KG) →
Result →
71
56
2
67
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | FRASER Gordon | 71 |
| 3 | WOHLBERG Eric | 63 |
| 6 | HORNER Chris | 70 |
| 12 | MITCHELL Glen | 70 |
| 27 | FRATTINI Davide | 63 |
| 67 | EUSER Lucas | 56 |