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 = -0.2 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Bewley
4
81 kgReid
11
62 kgPorte
15
62 kgRoulston
18
81 kgNorthey
38
69 kg
4
81 kgReid
11
62 kgPorte
15
62 kgRoulston
18
81 kgNorthey
38
69 kg
Weight (KG) →
Result →
81
62
4
38
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | BEWLEY Sam | 81 |
| 11 | REID Robin | 62 |
| 15 | PORTE Richie | 62 |
| 18 | ROULSTON Hayden | 81 |
| 38 | NORTHEY Michael James | 69 |