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 = 1.7 * weight - 97
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Wu
1
68 kgWong
2
65 kgNishitani
3
62 kgTang
7
62 kgXu
12
69 kgTreacey
24
67 kgZhang
29
80 kgChan
50
70 kg
1
68 kgWong
2
65 kgNishitani
3
62 kgTang
7
62 kgXu
12
69 kgTreacey
24
67 kgZhang
29
80 kgChan
50
70 kg
Weight (KG) →
Result →
80
62
1
50
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WU Kin San | 68 |
| 2 | WONG Kam-Po | 65 |
| 3 | NISHITANI Taiji | 62 |
| 7 | TANG Wang Yip | 62 |
| 12 | XU Gang | 69 |
| 24 | TREACEY David | 67 |
| 29 | ZHANG Liang | 80 |
| 50 | CHAN Chun Hing | 70 |