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 = 0.2 * weight - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FRIGO Marco | 70 |
| 2 | PALENI Enzo | 65 |
| 4 | VAN DER BEKEN Aaron | 66 |
| 6 | PAULUS Milan | 62 |
| 8 | RICHARD Maxime | 55 |
| 9 | STRONG Corbin | 63 |
| 10 | WATSON Samuel | 68 |
| 11 | FLYNN Sean | 67 |
| 12 | VANDEPITTE Nathan | 80 |
| 13 | ASKEY Lewis | 75 |