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 * weight + 10
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCCABE Travis | 72 |
| 3 | GARRISON Ian | 76 |
| 4 | BEYER Chad | 63 |
| 5 | RUSSO Clément | 74 |
| 8 | STITES Tyler | 60 |
| 10 | SWIRBUL Keegan | 65 |
| 13 | LAWLESS Chris | 72 |
| 14 | PUTT Tanner | 75 |
| 15 | ORONTE Emerson | 65 |
| 18 | CATAFORD Alexander | 70 |
| 19 | HECHT Gage | 72 |