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 = -1.6 * weight + 100
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
Somrat
1
56 kgWong Wan
3
54 kgDiao
5
59 kgHsiao
6
58 kgNontasin
14
58 kgNuntana
36
55 kg
1
56 kgWong Wan
3
54 kgDiao
5
59 kgHsiao
6
58 kgNontasin
14
58 kgNuntana
36
55 kg
Weight (KG) →
Result →
59
54
1
36
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOMRAT Phetdarin | 56 |
| 3 | WONG WAN Yiu | 54 |
| 5 | DIAO Xiao Juan | 59 |
| 6 | HSIAO Mei Yu | 58 |
| 14 | NONTASIN Chanpeng | 58 |
| 36 | NUNTANA Supaksorn | 55 |