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 = -0.7 * weight + 51
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Power
2
68 kgO'Loughlin
4
68 kgNewton
6
69 kgWinn
7
70 kgMcLeod
10
66 kg
2
68 kgO'Loughlin
4
68 kgNewton
6
69 kgWinn
7
70 kgMcLeod
10
66 kg
Weight (KG) →
Result →
70
66
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | POWER Ciarán | 68 |
| 4 | O'LOUGHLIN David | 68 |
| 6 | NEWTON Christopher | 69 |
| 7 | WINN Julian | 70 |
| 10 | MCLEOD Ian | 66 |