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 = 0.6 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SPRATT Amanda | 55 |
| 2 | BOYARSKAYA Natalia | 67 |
| 3 | PANKOVA Larisa | 52 |
| 6 | BRZEŹNA Paulina | 56 |
| 7 | BURCHENKOVA Alexandra | 67 |
| 14 | VYSOTSKA Ievgeniia | 55 |
| 17 | WYMAN Helen | 56 |
| 22 | KASPER Romy | 59 |
| 23 | SÖDERBERG Isabelle | 60 |
| 26 | HAMMES Kathrin | 54 |
| 27 | HOSKINS Melissa | 64 |
| 32 | KITCHEN Lauren | 60 |
| 35 | MOBERG Emilie | 56 |
| 60 | RITTER Martina | 59 |
| 61 | NORMAN LETH Julie | 68 |
| 63 | PINTAR Urška | 56 |