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 = 2.2 * weight - 134
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
Wong
1
65 kgNishitani
2
62 kgWu
8
68 kgChan
9
70 kgXu
10
69 kgTreacey
12
67 kgMifune
16
70 kgTang
18
62 kgZhang
50
80 kg
1
65 kgNishitani
2
62 kgWu
8
68 kgChan
9
70 kgXu
10
69 kgTreacey
12
67 kgMifune
16
70 kgTang
18
62 kgZhang
50
80 kg
Weight (KG) →
Result →
80
62
1
50
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WONG Kam-Po | 65 |
| 2 | NISHITANI Taiji | 62 |
| 8 | WU Kin San | 68 |
| 9 | CHAN Chun Hing | 70 |
| 10 | XU Gang | 69 |
| 12 | TREACEY David | 67 |
| 16 | MIFUNE Masahiko | 70 |
| 18 | TANG Wang Yip | 62 |
| 50 | ZHANG Liang | 80 |