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 + 36
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROSSKOPF Joey | 74 |
| 2 | HAGA Chad | 71.5 |
| 3 | BOOKWALTER Brent | 70 |
| 4 | WARBASSE Larry | 67 |
| 5 | HECHT Gage | 72 |
| 6 | MCNULTY Brandon | 69 |
| 7 | BENNETT Sean | 66 |
| 11 | GARRISON Ian | 76 |
| 14 | POWLESS Neilson | 67 |
| 16 | VERMEULEN Alexey | 66 |
| 18 | ZIMMER Matt | 68 |
| 20 | STITES Tyler | 60 |
| 23 | HOOVER Gavin | 78 |
| 25 | HARTIG Evan | 77 |
| 27 | SWIRBUL Keegan | 65 |
| 30 | HOEHN Alex | 63 |
| 32 | HUFFMAN Evan | 71 |