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 = 1.5 * weight - 70
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Simmonds
1
55 kgBarnes
5
52 kgParkinson
10
51 kgKay
26
69 kgBanks
36
62 kg
1
55 kgBarnes
5
52 kgParkinson
10
51 kgKay
26
69 kgBanks
36
62 kg
Weight (KG) →
Result →
69
51
1
36
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIMMONDS Hayley | 55 |
| 5 | BARNES Hannah | 52 |
| 10 | PARKINSON Abby-Mae | 51 |
| 26 | KAY Emily | 69 |
| 36 | BANKS Elizabeth | 62 |