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 = 0.6 * weight - 32
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Wohlberg
4
63 kgFraser
9
71 kgFrattini
10
63 kgHorner
12
70 kgMitchell
15
70 kg
4
63 kgFraser
9
71 kgFrattini
10
63 kgHorner
12
70 kgMitchell
15
70 kg
Weight (KG) →
Result →
71
63
4
15
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | WOHLBERG Eric | 63 |
| 9 | FRASER Gordon | 71 |
| 10 | FRATTINI Davide | 63 |
| 12 | HORNER Chris | 70 |
| 15 | MITCHELL Glen | 70 |