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 + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Barnes
1
52 kgWood
2
59 kgRowe
6
65 kgHenderson
9
58 kgRoberts
13
60 kgBanks
14
62 kgParkinson
18
51 kg
1
52 kgWood
2
59 kgRowe
6
65 kgHenderson
9
58 kgRoberts
13
60 kgBanks
14
62 kgParkinson
18
51 kg
Weight (KG) →
Result →
65
51
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARNES Hannah | 52 |
| 2 | WOOD Alice | 59 |
| 6 | ROWE Danielle | 65 |
| 9 | HENDERSON Anna | 58 |
| 13 | ROBERTS Jessica | 60 |
| 14 | BANKS Elizabeth | 62 |
| 18 | PARKINSON Abby-Mae | 51 |