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 = -0.8 * weight + 57
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Tagliani
1
70 kgMcDunphy
2
70 kgKuś
6
70 kgPękala
8
65 kgRemkhi
9
60 kgSchönberger
11
64 kg
1
70 kgMcDunphy
2
70 kgKuś
6
70 kgPękala
8
65 kgRemkhi
9
60 kgSchönberger
11
64 kg
Weight (KG) →
Result →
70
60
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TAGLIANI Filippo | 70 |
| 2 | MCDUNPHY Conn | 70 |
| 6 | KUŚ Adam | 70 |
| 8 | PĘKALA Piotr | 65 |
| 9 | REMKHI Rudolf | 60 |
| 11 | SCHÖNBERGER Sebastian | 64 |