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 - 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Abbott
1
52 kgGuarnier
2
54 kgStevens
3
55 kgJohansson
4
58 kgArmstrong
5
58 kgCanuel
6
51 kg
1
52 kgGuarnier
2
54 kgStevens
3
55 kgJohansson
4
58 kgArmstrong
5
58 kgCanuel
6
51 kg
Weight (KG) →
Result →
58
51
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ABBOTT Mara | 52 |
| 2 | GUARNIER Megan | 54 |
| 3 | STEVENS Evelyn | 55 |
| 4 | JOHANSSON Emma | 58 |
| 5 | ARMSTRONG Kristin | 58 |
| 6 | CANUEL Karol-Ann | 51 |