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 = -1.1 * weight + 88
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Koch
1
69 kgArndt
2
77.5 kgSütterlin
4
78 kgReinert
16
69 kgSchwarzmann
21
69 kg
1
69 kgArndt
2
77.5 kgSütterlin
4
78 kgReinert
16
69 kgSchwarzmann
21
69 kg
Weight (KG) →
Result →
78
69
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOCH Michel | 69 |
| 2 | ARNDT Nikias | 77.5 |
| 4 | SÜTTERLIN Jasha | 78 |
| 16 | REINERT Martin | 69 |
| 21 | SCHWARZMANN Michael | 69 |