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 = -0.7 * weight + 83
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PEDERSEN Casper | 71 |
| 5 | LARSÉN Richard | 82 |
| 12 | WETTERHALL Alexander | 70 |
| 15 | LISSON Christoffer | 73 |
| 19 | FOLSACH Casper | 81 |
| 28 | CARMAN Ben | 66 |
| 32 | KONGSTAD Tobias | 75 |
| 45 | TOUDAL Emil | 72 |
| 49 | MILLER Barry | 54 |
| 57 | SÖDERGRANN Jakob | 80 |
| 59 | MANNINEN Matti | 70 |