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 = 2.1 * weight - 106
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
3 | GRIZANTE André Luiz | 79 |
5 | DOS SANTOS Nilceu Aparecido | 70 |
9 | RAMOS Kléber | 65 |
10 | NAZARET Magno | 65 |
20 | SEABRA Renato | 67 |
22 | MEIER Christian | 61 |
28 | WOHLBERG Eric | 63 |
32 | FIORILLI Tiago | 63 |
35 | MAY Márcio | 73 |
46 | BULGARELLI Otavio | 69 |
51 | NICÁCIO Pedro | 72 |
54 | QUADRI Hernandes | 67 |
55 | ARSENO Alex | 71 |
67 | MÉDICI Matías | 70 |
73 | BERTOLETTI Simone | 75 |
91 | MOREIRA Federico Antonio | 80 |