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 = -0.6 * weight + 56
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BISSEGGER Stefan | 78 |
| 2 | GATE Aaron | 71 |
| 3 | PLOWRIGHT Jensen | 78 |
| 4 | THIÈRY Cyrille | 67 |
| 6 | VINE Jay | 69 |
| 7 | ARCHBOLD Shane | 79 |
| 13 | MCCORMICK Hayden | 72.5 |
| 14 | QUICK Blake | 77 |
| 15 | WHITEHOUSE Daniel | 58 |
| 17 | OKAMOTO Hayato | 65 |
| 18 | BOWDEN Scott | 65 |
| 19 | MUDGWAY Luke | 65 |
| 23 | LEBAS Thomas | 65 |
| 24 | ORAM James | 68 |
| 26 | METCALFE Ben | 59 |
| 27 | BATT Ethan | 76 |
| 30 | GOUGH Regan | 71 |