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 = 1.6 * weight - 85
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Reijnen
1
63 kgNiyonshuti
2
63 kgGirdlestone
12
66 kgJanse van Rensburg
29
63 kgRosskopf
34
74 kgKangangi
43
64 kg
1
63 kgNiyonshuti
2
63 kgGirdlestone
12
66 kgJanse van Rensburg
29
63 kgRosskopf
34
74 kgKangangi
43
64 kg
Weight (KG) →
Result →
74
63
1
43
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REIJNEN Kiel | 63 |
| 2 | NIYONSHUTI Adrien | 63 |
| 12 | GIRDLESTONE Dylan | 66 |
| 29 | JANSE VAN RENSBURG Jacques | 63 |
| 34 | ROSSKOPF Joey | 74 |
| 43 | KANGANGI Suleiman | 64 |