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 = -0.6 * weight + 58
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Roulston
1
81 kgReid
7
62 kgBewley
8
81 kgPorte
16
62 kgNorthey
50
69 kg
1
81 kgReid
7
62 kgBewley
8
81 kgPorte
16
62 kgNorthey
50
69 kg
Weight (KG) →
Result →
81
62
1
50
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROULSTON Hayden | 81 |
| 7 | REID Robin | 62 |
| 8 | BEWLEY Sam | 81 |
| 16 | PORTE Richie | 62 |
| 50 | NORTHEY Michael James | 69 |