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 = 0.6 * weight - 29
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Kolahdozhagh
1
60 kgJang
5
64 kgFelipe
7
58 kgGarcía
8
68 kgGoh
10
54 kgManulang
12
59 kgNewbery
21
75 kgAso
23
67 kg
1
60 kgJang
5
64 kgFelipe
7
58 kgGarcía
8
68 kgGoh
10
54 kgManulang
12
59 kgNewbery
21
75 kgAso
23
67 kg
Weight (KG) →
Result →
75
54
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOLAHDOZHAGH Amir | 60 |
| 5 | JANG Kyung-Gu | 64 |
| 7 | FELIPE Marcelo | 58 |
| 8 | GARCÍA Ricardo | 68 |
| 10 | GOH Choon Huat | 54 |
| 12 | MANULANG Robin | 59 |
| 21 | NEWBERY Dylan | 75 |
| 23 | ASO Keisuke | 67 |