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 = 0.3 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PERRY Benjamin | 71 |
| 2 | BENEDETTI Cesare | 63 |
| 4 | VAUBOURZEIX Thomas | 70 |
| 5 | SKJERPING Kristoffer | 71 |
| 6 | HUFFMAN Evan | 71 |
| 7 | RAST Grégory | 80 |
| 8 | THWAITES Scott | 71 |
| 9 | DIDIER Laurent | 68 |
| 10 | VANDEWALLE Kristof | 74 |