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 = -0.9 * weight + 69
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Reijnen
1
63 kgRosskopf
2
74 kgNiyonshuti
4
63 kgGirdlestone
7
66 kgJanse van Rensburg
13
63 kgKangangi
39
64 kg
1
63 kgRosskopf
2
74 kgNiyonshuti
4
63 kgGirdlestone
7
66 kgJanse van Rensburg
13
63 kgKangangi
39
64 kg
Weight (KG) →
Result →
74
63
1
39
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REIJNEN Kiel | 63 |
| 2 | ROSSKOPF Joey | 74 |
| 4 | NIYONSHUTI Adrien | 63 |
| 7 | GIRDLESTONE Dylan | 66 |
| 13 | JANSE VAN RENSBURG Jacques | 63 |
| 39 | KANGANGI Suleiman | 64 |