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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Suzuki
2
60 kgMenzies
3
86 kgPark
4
73 kgMcCann
5
73 kgKhalmuratov
6
68 kgReid
8
62 kgDoi
9
58 kg
2
60 kgMenzies
3
86 kgPark
4
73 kgMcCann
5
73 kgKhalmuratov
6
68 kgReid
8
62 kgDoi
9
58 kg
Weight (KG) →
Result →
86
58
2
9
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SUZUKI Shinri | 60 |
| 3 | MENZIES Karl | 86 |
| 4 | PARK Sung Baek | 73 |
| 5 | MCCANN David | 73 |
| 6 | KHALMURATOV Muradjan | 68 |
| 8 | REID Robin | 62 |
| 9 | DOI Yukihiro | 58 |