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 = -1.1 * weight + 90
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Girdlestone
8
66 kgRosskopf
9
74 kgNiyonshuti
10
63 kgReijnen
12
63 kgKangangi
19
64 kgJanse van Rensburg
41
63 kg
8
66 kgRosskopf
9
74 kgNiyonshuti
10
63 kgReijnen
12
63 kgKangangi
19
64 kgJanse van Rensburg
41
63 kg
Weight (KG) →
Result →
74
63
8
41
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | GIRDLESTONE Dylan | 66 |
| 9 | ROSSKOPF Joey | 74 |
| 10 | NIYONSHUTI Adrien | 63 |
| 12 | REIJNEN Kiel | 63 |
| 19 | KANGANGI Suleiman | 64 |
| 41 | JANSE VAN RENSBURG Jacques | 63 |