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 = -0.4 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Hsiao
5
58 kgWong Wan
11
54 kgSomrat
12
56 kgDiao
14
59 kgNontasin
18
58 kgNuntana
20
55 kg
5
58 kgWong Wan
11
54 kgSomrat
12
56 kgDiao
14
59 kgNontasin
18
58 kgNuntana
20
55 kg
Weight (KG) →
Result →
59
54
5
20
# | Rider | Weight (KG) |
---|---|---|
5 | HSIAO Mei Yu | 58 |
11 | WONG WAN Yiu | 54 |
12 | SOMRAT Phetdarin | 56 |
14 | DIAO Xiao Juan | 59 |
18 | NONTASIN Chanpeng | 58 |
20 | NUNTANA Supaksorn | 55 |