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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Carstensen
1
69 kgFeng
4
68 kgAgnoletto
5
69 kgKuroeda
6
57 kgOnodera
8
65 kgCahyadi
10
52 kgSmit
13
72 kg
1
69 kgFeng
4
68 kgAgnoletto
5
69 kgKuroeda
6
57 kgOnodera
8
65 kgCahyadi
10
52 kgSmit
13
72 kg
Weight (KG) →
Result →
72
52
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CARSTENSEN Lucas | 69 |
| 4 | FENG Chun Kai | 68 |
| 5 | AGNOLETTO Blake | 69 |
| 6 | KUROEDA Saya | 57 |
| 8 | ONODERA Rei | 65 |
| 10 | CAHYADI Aiman | 52 |
| 13 | SMIT Willie | 72 |