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 = -0.8 * weight + 59
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GRABIS Mateusz | 75 |
| 4 | SCOTT Jacob | 68 |
| 5 | STOSZ Patryk | 70 |
| 6 | TYBOR Patrik | 72 |
| 7 | SHAW James | 63 |
| 8 | TACIAK Mateusz | 68 |
| 10 | MOSCA Jacopo | 65 |
| 11 | JANISZEWSKI Sylwester | 65 |
| 12 | ZIELIńSKI Kamil | 61 |
| 13 | HONKISZ Adrian | 61 |
| 14 | LAVERACK Edward | 62 |
| 15 | DI SANTE Antonio | 62 |