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 = -1.2 * weight + 98
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
May
1
73 kgArseno
2
71 kgNazaret
7
65 kgQuadri
17
67 kgBulgarelli
19
69 kgFiorilli
22
63 kgdos Santos
27
70 kg
1
73 kgArseno
2
71 kgNazaret
7
65 kgQuadri
17
67 kgBulgarelli
19
69 kgFiorilli
22
63 kgdos Santos
27
70 kg
Weight (KG) →
Result →
73
63
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAY Márcio | 73 |
| 2 | ARSENO Alex | 71 |
| 7 | NAZARET Magno | 65 |
| 17 | QUADRI Hernandes | 67 |
| 19 | BULGARELLI Otavio | 69 |
| 22 | FIORILLI Tiago | 63 |
| 27 | DOS SANTOS Nilceu Aparecido | 70 |