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 = 0.1 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REIJNEN Kiel | 63 |
| 2 | BERHANE Natnael | 66 |
| 3 | MANCEBO Francisco | 64 |
| 4 | HADDI Soufiane | 63 |
| 5 | BRUN Frederic | 73 |
| 7 | ASADOV Elchin | 77 |
| 8 | NOVARDIANTO Jamalidin | 69 |
| 9 | BRUTT Pavel | 70 |
| 11 | HASNAOUI Maher | 80 |
| 13 | WEENING Pieter | 68 |
| 14 | WANG Meiyin | 70 |
| 15 | OTHMAN Muhamad Afiq Husaine | 57 |
| 16 | ANDREETTA Simone | 69 |
| 18 | HOWARD Leigh | 72 |
| 19 | CLARKE Jonathan | 68 |