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 + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
O'Loughlin
3
68 kgRichardson
4
75 kgDe Schrooder
6
61 kgNewton
7
69 kgMcCann
8
73 kgOliphant
9
66 kg
3
68 kgRichardson
4
75 kgDe Schrooder
6
61 kgNewton
7
69 kgMcCann
8
73 kgOliphant
9
66 kg
Weight (KG) →
Result →
75
61
3
9
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | O'LOUGHLIN David | 68 |
| 4 | RICHARDSON Simon | 75 |
| 6 | DE SCHROODER Benny | 61 |
| 7 | NEWTON Christopher | 69 |
| 8 | MCCANN David | 73 |
| 9 | OLIPHANT Evan | 66 |