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 = 0.8 * weight - 41
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Choi
1
59 kgCheung
2
59 kgLeung
8
73 kgWong
10
65 kgTang
14
62 kgWu
25
68 kg
1
59 kgCheung
2
59 kgLeung
8
73 kgWong
10
65 kgTang
14
62 kgWu
25
68 kg
Weight (KG) →
Result →
73
59
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHOI Ki Ho | 59 |
| 2 | CHEUNG King Lok | 59 |
| 8 | LEUNG Chun Wing | 73 |
| 10 | WONG Kam-Po | 65 |
| 14 | TANG Wang Yip | 62 |
| 25 | WU Kin San | 68 |