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 + 48
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Reijnen
1
63 kgRosskopf
2
74 kgGirdlestone
3
66 kgNiyonshuti
6
63 kgKangangi
13
64 kgJanse van Rensburg
16
63 kg
1
63 kgRosskopf
2
74 kgGirdlestone
3
66 kgNiyonshuti
6
63 kgKangangi
13
64 kgJanse van Rensburg
16
63 kg
Weight (KG) →
Result →
74
63
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REIJNEN Kiel | 63 |
| 2 | ROSSKOPF Joey | 74 |
| 3 | GIRDLESTONE Dylan | 66 |
| 6 | NIYONSHUTI Adrien | 63 |
| 13 | KANGANGI Suleiman | 64 |
| 16 | JANSE VAN RENSBURG Jacques | 63 |