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.
Simmonds
1
55 kgArchibald
6
75 kgBarnes
7
52 kgParkinson
8
51 kgBanks
20
62 kg
1
55 kgArchibald
6
75 kgBarnes
7
52 kgParkinson
8
51 kgBanks
20
62 kg
Weight (KG) →
Result →
75
51
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIMMONDS Hayley | 55 |
| 6 | ARCHIBALD Katie | 75 |
| 7 | BARNES Hannah | 52 |
| 8 | PARKINSON Abby-Mae | 51 |
| 20 | BANKS Elizabeth | 62 |