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 = 0.2 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Zimmermann
1
70 kgMoschetti
2
73 kgMareczko
4
67 kgSefa
5
72 kgVahtra
7
85 kg
1
70 kgMoschetti
2
73 kgMareczko
4
67 kgSefa
5
72 kgVahtra
7
85 kg
Weight (KG) →
Result →
85
67
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZIMMERMANN Georg | 70 |
| 2 | MOSCHETTI Matteo | 73 |
| 4 | MARECZKO Jakub | 67 |
| 5 | SEFA Ylber | 72 |
| 7 | VAHTRA Norman | 85 |