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 + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GRANIGAN Noah | 76 |
| 2 | STITES Tyler | 60 |
| 3 | RØED Torbjørn Andre | 74 |
| 4 | CLARKE Jonathan | 68 |
| 7 | HENAO Sergio | 61 |
| 9 | WILLIAMS Tyler | 73 |
| 10 | ARANGO Juan Esteban | 62 |
| 12 | JACKSON George | 75 |
| 13 | BAUSBACHER Evan | 59 |
| 21 | HERNANDEZ Michael | 74 |