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 = 0.1 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Danielson
2
58.5 kgMcCartney
3
70 kgPate
5
73 kgHorner
6
70 kgVaughters
7
64 kg
2
58.5 kgMcCartney
3
70 kgPate
5
73 kgHorner
6
70 kgVaughters
7
64 kg
Weight (KG) →
Result →
73
58.5
2
7
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DANIELSON Tom | 58.5 |
| 3 | MCCARTNEY Jason | 70 |
| 5 | PATE Danny | 73 |
| 6 | HORNER Chris | 70 |
| 7 | VAUGHTERS Jonathan | 64 |