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 = -2.2 * weight + 173
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SHEEHAN Riley | 69 |
| 6 | CHRÉTIEN Charles-Étienne | 65 |
| 10 | FOLEY Michael | 72 |
| 11 | MCELROY Sean | 78 |
| 12 | JORGENSON Matteo | 69 |
| 17 | ONODERA Kei | 63 |
| 24 | QUINN Sean | 67 |
| 35 | PALAMAREK Ethan | 61 |
| 37 | MILES Carson | 64 |
| 43 | SHINODA Koki | 64 |
| 44 | LANGE Colby | 72 |
| 49 | SANKMANN Joosep | 64 |
| 58 | JUNEAU Francis | 67 |
| 70 | MENDEZ Daniel Alejandro | 57 |