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 = -1.4 * weight + 106
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Park
1
73 kgNishitani
4
62 kgWong
11
65 kgTang
18
62 kgReid
19
62 kgZonneveld
30
63 kg
1
73 kgNishitani
4
62 kgWong
11
65 kgTang
18
62 kgReid
19
62 kgZonneveld
30
63 kg
Weight (KG) →
Result →
73
62
1
30
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PARK Sung Baek | 73 |
| 4 | NISHITANI Taiji | 62 |
| 11 | WONG Kam-Po | 65 |
| 18 | TANG Wang Yip | 62 |
| 19 | REID Robin | 62 |
| 30 | ZONNEVELD Thijs | 63 |