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 + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Henderson
1
58 kgLowden
2
55 kgDixon
3
61 kgWood
4
59 kgBarnes
5
52 kgSimmonds
6
55 kgStorrie
8
58 kg
1
58 kgLowden
2
55 kgDixon
3
61 kgWood
4
59 kgBarnes
5
52 kgSimmonds
6
55 kgStorrie
8
58 kg
Weight (KG) →
Result →
61
52
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HENDERSON Anna | 58 |
| 2 | LOWDEN Joscelin | 55 |
| 3 | DIXON Leah | 61 |
| 4 | WOOD Alice | 59 |
| 5 | BARNES Hannah | 52 |
| 6 | SIMMONDS Hayley | 55 |
| 8 | STORRIE Becky | 58 |