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 = 0.3 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOGDANOVIČS Māris | 68 |
| 2 | BENFATTO Marco | 71 |
| 3 | GROSU Eduard-Michael | 68 |
| 5 | ABERASTURI Jon | 69 |
| 6 | PAPOK Siarhei | 76 |
| 7 | RIVERA Kevin | 56 |
| 9 | MALUCELLI Matteo | 68 |
| 10 | ANDRIATO Rafael | 67 |
| 14 | MACANALLY Ryan | 68 |
| 15 | PRUUS Peeter | 71 |
| 18 | CECCHIN Alberto | 70 |
| 19 | BANASZEK Adrian | 79 |
| 20 | NIKITIN Matvey | 61 |
| 24 | FREIBERG Michael | 82 |
| 25 | GUARDIOLA Salvador | 65 |
| 26 | TSOY Vladimir | 73 |