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 + 61
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Rosskopf
1
74 kgReijnen
2
63 kgGirdlestone
3
66 kgNiyonshuti
7
63 kgKangangi
13
64 kgJanse van Rensburg
18
63 kg
1
74 kgReijnen
2
63 kgGirdlestone
3
66 kgNiyonshuti
7
63 kgKangangi
13
64 kgJanse van Rensburg
18
63 kg
Weight (KG) →
Result →
74
63
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROSSKOPF Joey | 74 |
| 2 | REIJNEN Kiel | 63 |
| 3 | GIRDLESTONE Dylan | 66 |
| 7 | NIYONSHUTI Adrien | 63 |
| 13 | KANGANGI Suleiman | 64 |
| 18 | JANSE VAN RENSBURG Jacques | 63 |