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 = -0.8 * weight + 68
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Reijnen
4
63 kgGirdlestone
5
66 kgRosskopf
6
74 kgNiyonshuti
10
63 kgJanse van Rensburg
24
63 kgKangangi
25
64 kg
4
63 kgGirdlestone
5
66 kgRosskopf
6
74 kgNiyonshuti
10
63 kgJanse van Rensburg
24
63 kgKangangi
25
64 kg
Weight (KG) →
Result →
74
63
4
25
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | REIJNEN Kiel | 63 |
| 5 | GIRDLESTONE Dylan | 66 |
| 6 | ROSSKOPF Joey | 74 |
| 10 | NIYONSHUTI Adrien | 63 |
| 24 | JANSE VAN RENSBURG Jacques | 63 |
| 25 | KANGANGI Suleiman | 64 |