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 = -2.8 * weight + 202
This means that on average for every extra kilogram weight a rider loses -2.8 positions in the result.
Teklehaimanot
1
70 kgBerhane
8
66 kgKangangi
11
64 kgBelgasem
31
68 kgMaiyo
39
63 kg
1
70 kgBerhane
8
66 kgKangangi
11
64 kgBelgasem
31
68 kgMaiyo
39
63 kg
Weight (KG) →
Result →
70
63
1
39
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TEKLEHAIMANOT Daniel | 70 |
| 8 | BERHANE Natnael | 66 |
| 11 | KANGANGI Suleiman | 64 |
| 31 | BELGASEM Ahmed Youssef | 68 |
| 39 | MAIYO Ismael Chelanga | 63 |