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 = -0.5 * weight + 49
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BISSEGGER Stefan | 78 |
| 2 | GATE Aaron | 71 |
| 3 | VINE Jay | 69 |
| 5 | PLOWRIGHT Jensen | 80 |
| 7 | THIÈRY Cyrille | 67 |
| 8 | ARCHBOLD Shane | 79 |
| 11 | QUICK Blake | 77 |
| 12 | WHITEHOUSE Daniel | 58 |
| 14 | MUDGWAY Luke | 63 |
| 18 | LEBAS Thomas | 65 |
| 19 | ORAM James | 68 |
| 22 | METCALFE Ben | 59 |
| 24 | GOUGH Regan | 71 |