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 - 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NIZZOLO Giacomo | 72 |
| 2 | KEUKELEIRE Jens | 69 |
| 3 | DEGENKOLB John | 82 |
| 4 | CAVENDISH Mark | 70 |
| 5 | SMITH Dion | 67 |
| 6 | CORT Magnus | 68 |
| 7 | LATHAM Christopher | 81 |
| 8 | KOLÁŘ Michael | 90 |
| 9 | MAIKIN Roman | 68 |
| 10 | MATTHEWS Michael | 72 |
| 11 | SMUKULIS Gatis | 72 |
| 12 | COLEDAN Marco | 83 |
| 13 | DRUCKER Jempy | 75 |
| 14 | SINKELDAM Ramon | 77 |