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 + 65
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MÉDICI Matías | 70 |
| 2 | NICÁCIO Pedro | 72 |
| 3 | NAZARET Magno | 65 |
| 5 | GONZÁLEZ Freddy Excelino | 55 |
| 6 | ALZATE Carlos | 74 |
| 22 | BULGARELLI Otavio | 69 |
| 23 | QUADRI Hernandes | 67 |
| 29 | OCHOA Carlos José | 62 |
| 30 | ANDRIATO Rafael | 67 |
| 34 | DOS SANTOS Nilceu Aparecido | 70 |
| 37 | MAY Márcio | 73 |
| 41 | FIORILLI Tiago | 63 |
| 45 | RAMOS Kléber | 65 |
| 54 | RITA Anderson Getulio Cordeiro | 62 |