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 = 0.2 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | YATES Adam | 58 |
| 2 | SMITH Dion | 67 |
| 3 | NORMAN LETH Lasse | 75 |
| 4 | FORMOLO Davide | 62 |
| 5 | ORAM James | 68 |
| 7 | SKJERPING Kristoffer | 71 |
| 8 | BYSTRØM Sven Erik | 73 |
| 9 | OWEN Logan | 67 |
| 10 | LUDVIGSSON Fredrik | 71 |
| 12 | CATAFORD Alexander | 70 |
| 13 | MORTON Lachlan | 62 |
| 15 | OIEN Justin | 68 |
| 17 | DANIEL Gregory | 64 |
| 21 | PERRY Benjamin | 71 |