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 + 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Roulston
1
81 kgReid
5
62 kgPorte
19
62 kgBewley
35
81 kgNorthey
44
69 kg
1
81 kgReid
5
62 kgPorte
19
62 kgBewley
35
81 kgNorthey
44
69 kg
Weight (KG) →
Result →
81
62
1
44
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROULSTON Hayden | 81 |
| 5 | REID Robin | 62 |
| 19 | PORTE Richie | 62 |
| 35 | BEWLEY Sam | 81 |
| 44 | NORTHEY Michael James | 69 |