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 = 0.4 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KUSS Sepp | 61 |
| 2 | SLAGTER Tom-Jelte | 57 |
| 4 | CATAFORD Alexander | 70 |
| 5 | HOWES Alex | 61 |
| 6 | JONES Chris | 64 |
| 7 | HUFFMAN Evan | 71 |
| 8 | MCCABE Travis | 72 |
| 10 | PICCOLI James | 65 |
| 17 | BURKE Jack | 67 |
| 19 | SWIRBUL Keegan | 65 |