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 = -0.1 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Park
1
73 kgMirza
3
60 kgGaledo
5
58 kgBaasankhuu
7
62 kgGoh
15
54 kgJang
17
64 kgNovardianto
21
69 kg
1
73 kgMirza
3
60 kgGaledo
5
58 kgBaasankhuu
7
62 kgGoh
15
54 kgJang
17
64 kgNovardianto
21
69 kg
Weight (KG) →
Result →
73
54
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PARK Sung Baek | 73 |
| 3 | MIRZA Yousif | 60 |
| 5 | GALEDO Mark John Lexer | 58 |
| 7 | BAASANKHUU Myagmarsuren | 62 |
| 15 | GOH Choon Huat | 54 |
| 17 | JANG Chan Jae | 64 |
| 21 | NOVARDIANTO Jamalidin | 69 |