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 = 0.2 * weight + 13
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DOS SANTOS Nilceu Aparecido | 70 |
| 3 | ALZATE Carlos | 74 |
| 5 | RAMOS Kléber | 65 |
| 7 | ANDRIATO Rafael | 67 |
| 8 | GONZÁLEZ Freddy Excelino | 55 |
| 23 | RITA Anderson Getulio Cordeiro | 62 |
| 29 | MÉDICI Matías | 70 |
| 32 | NAZARET Magno | 65 |
| 40 | NICÁCIO Pedro | 72 |
| 41 | BULGARELLI Otavio | 69 |
| 42 | OCHOA Carlos José | 62 |
| 44 | QUADRI Hernandes | 67 |
| 46 | MAY Márcio | 73 |
| 53 | FIORILLI Tiago | 63 |