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 = -1.5 * weight + 107
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
Park
1
73 kgWong
6
65 kgNishitani
7
62 kgReid
17
62 kgTang
19
62 kgZonneveld
27
63 kg
1
73 kgWong
6
65 kgNishitani
7
62 kgReid
17
62 kgTang
19
62 kgZonneveld
27
63 kg
Weight (KG) →
Result →
73
62
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PARK Sung Baek | 73 |
| 6 | WONG Kam-Po | 65 |
| 7 | NISHITANI Taiji | 62 |
| 17 | REID Robin | 62 |
| 19 | TANG Wang Yip | 62 |
| 27 | ZONNEVELD Thijs | 63 |