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 = 1.4 * weight - 79
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SHEEHAN Riley | 69 |
| 6 | SHINODA Koki | 64 |
| 8 | CHRÉTIEN Charles-Étienne | 65 |
| 13 | QUINN Sean | 67 |
| 14 | MCELROY Sean | 78 |
| 23 | JORGENSON Matteo | 69 |
| 36 | LANGE Colby | 72 |
| 41 | FOLEY Michael | 72 |