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 = 1.1 * weight - 55
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Roulston
3
81 kgPorte
4
62 kgReid
5
62 kgNorthey
40
69 kgBewley
52
81 kg
3
81 kgPorte
4
62 kgReid
5
62 kgNorthey
40
69 kgBewley
52
81 kg
Weight (KG) →
Result →
81
62
3
52
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ROULSTON Hayden | 81 |
| 4 | PORTE Richie | 62 |
| 5 | REID Robin | 62 |
| 40 | NORTHEY Michael James | 69 |
| 52 | BEWLEY Sam | 81 |