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 = 0.7 * weight - 31
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KUSS Sepp | 61 |
| 4 | SLAGTER Tom-Jelte | 57 |
| 5 | CATAFORD Alexander | 70 |
| 8 | HOWES Alex | 61 |
| 12 | JONES Chris | 64 |
| 14 | HUFFMAN Evan | 71 |
| 15 | MCCABE Travis | 72 |
| 18 | PICCOLI James | 65 |
| 19 | NORRIS Lachlan | 67 |
| 24 | BURKE Jack | 67 |
| 25 | SWIRBUL Keegan | 65 |