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 = -0.7 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Wood
1
56 kgTeutenberg
2
64 kgArmstrong
4
58 kgSchleicher
5
58 kgWrubleski
13
55 kg
1
56 kgTeutenberg
2
64 kgArmstrong
4
58 kgSchleicher
5
58 kgWrubleski
13
55 kg
Weight (KG) →
Result →
64
55
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WOOD Oenone | 56 |
| 2 | TEUTENBERG Ina-Yoko | 64 |
| 4 | ARMSTRONG Kristin | 58 |
| 5 | SCHLEICHER Regina | 58 |
| 13 | WRUBLESKI Alex | 55 |