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.
Sisr
1
72 kgWang
2
70 kgBakker
6
74.5 kgKazemi
7
71 kgMoazemi
9
70 kg
1
72 kgWang
2
70 kgBakker
6
74.5 kgKazemi
7
71 kgMoazemi
9
70 kg
Weight (KG) →
Result →
74.5
70
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SISR František | 72 |
| 2 | WANG Meiyin | 70 |
| 6 | BAKKER Dennis | 74.5 |
| 7 | KAZEMI Sarai Ahad | 71 |
| 9 | MOAZEMI Arvin | 70 |