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 - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Nakajima
1
64 kgFeng
3
69 kgZargari
4
62 kgEbsen
6
58 kgMizbani
7
67 kgNovardianto
8
69 kg
1
64 kgFeng
3
69 kgZargari
4
62 kgEbsen
6
58 kgMizbani
7
67 kgNovardianto
8
69 kg
Weight (KG) →
Result →
69
58
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NAKAJIMA Yasuharu | 64 |
| 3 | FENG Chun Kai | 69 |
| 4 | ZARGARI Amir | 62 |
| 6 | EBSEN John | 58 |
| 7 | MIZBANI Ghader | 67 |
| 8 | NOVARDIANTO Jamalidin | 69 |