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 = -2.7 * weight + 170
This means that on average for every extra kilogram weight a rider loses -2.7 positions in the result.
Hsiao
6
58 kgDiao
9
59 kgNuntana
10
55 kgNontasin
13
58 kgWong Wan
24
54 kgSomrat
28
56 kg
6
58 kgDiao
9
59 kgNuntana
10
55 kgNontasin
13
58 kgWong Wan
24
54 kgSomrat
28
56 kg
Weight (KG) →
Result →
59
54
6
28
# | Rider | Weight (KG) |
---|---|---|
6 | HSIAO Mei Yu | 58 |
9 | DIAO Xiao Juan | 59 |
10 | NUNTANA Supaksorn | 55 |
13 | NONTASIN Chanpeng | 58 |
24 | WONG WAN Yiu | 54 |
28 | SOMRAT Phetdarin | 56 |