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 = 1.6 * weight - 69
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZABELINSKAYA Olga | 52 |
| 2 | AMIALIUSIK Alena | 53 |
| 3 | LAWS Sharon | 54 |
| 5 | ANTOSHINA Tatiana | 55 |
| 6 | BURCHENKOVA Alexandra | 67 |
| 10 | RIABCHENKO Tetyana | 57 |
| 11 | ABBOTT Mara | 52 |
| 13 | HALL Katie | 52 |
| 14 | SAARELAINEN Sari | 58 |
| 19 | EDWARDS Ruth | 59 |
| 26 | PEÑUELA Diana | 53 |
| 31 | BARNES Hannah | 52 |
| 38 | VALSECCHI Silvia | 58 |
| 54 | DEL ROCIO ROCHA Mayra | 58 |
| 62 | HATTELAND LIMA Tone | 65 |