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 = 0.3 * weight + 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Médici
1
70 kgMancebo
23
64 kgBeyer
48
63 kgRamos
56
65 kgMiraballes
58
76 kg
1
70 kgMancebo
23
64 kgBeyer
48
63 kgRamos
56
65 kgMiraballes
58
76 kg
Weight (KG) →
Result →
76
63
1
58
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MÉDICI Matías | 70 |
| 23 | MANCEBO Francisco | 64 |
| 48 | BEYER Chad | 63 |
| 56 | RAMOS Kléber | 65 |
| 58 | MIRABALLES Wilder Sergio | 76 |