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 = 0.2 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PITHIE Laurence | 74 |
| 2 | LAUK Karl Patrick | 69 |
| 4 | KVIST Linus | 72 |
| 5 | VAHTRA Norman | 85 |
| 6 | RÄIM Mihkel | 69 |
| 7 | ŠIŠKEVIČIUS Evaldas | 80 |
| 8 | KISKONEN Siim | 64 |
| 10 | BAKKER Björn | 79 |
| 11 | BÁRTA Tomáš | 79 |
| 12 | BOGDANOVIČS Māris | 68 |
| 14 | ANSONS Kristers | 77 |
| 15 | BANASZEK Adrian | 79 |
| 17 | FLAKSIS Andžs | 79 |
| 21 | PAGE Hugo | 71 |
| 22 | KELMELIS Aristidas | 78 |