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 = -0.1 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Smit
1
72 kgMansouri
6
66 kgKipkemboi
7
63 kgKangangi
9
64 kgDavids
12
72 kg
1
72 kgMansouri
6
66 kgKipkemboi
7
63 kgKangangi
9
64 kgDavids
12
72 kg
Weight (KG) →
Result →
72
63
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SMIT Willie | 72 |
| 6 | MANSOURI Abderrahmane | 66 |
| 7 | KIPKEMBOI Salim | 63 |
| 9 | KANGANGI Suleiman | 64 |
| 12 | DAVIDS Brendon | 72 |