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 - 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Haddi
1
63 kgSütterlin
2
78 kgKoch
4
69 kgSchwarzmann
5
69 kgKnaup
8
61 kgKolář
10
90 kg
1
63 kgSütterlin
2
78 kgKoch
4
69 kgSchwarzmann
5
69 kgKnaup
8
61 kgKolář
10
90 kg
Weight (KG) →
Result →
90
61
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HADDI Soufiane | 63 |
| 2 | SÜTTERLIN Jasha | 78 |
| 4 | KOCH Michel | 69 |
| 5 | SCHWARZMANN Michael | 69 |
| 8 | KNAUP Tobias | 61 |
| 10 | KOLÁŘ Michael | 90 |