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 = -0.4 * weight + 63
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Martinelli
14
74 kgPollentier
19
62 kgVilamajo
26
70 kgMoser
49
79 kgDelgado
51
64 kgSaronni
69
65 kg
14
74 kgPollentier
19
62 kgVilamajo
26
70 kgMoser
49
79 kgDelgado
51
64 kgSaronni
69
65 kg
Weight (KG) →
Result →
79
62
14
69
| # | Rider | Weight (KG) |
|---|---|---|
| 14 | MARTINELLI Giuseppe | 74 |
| 19 | POLLENTIER Michel | 62 |
| 26 | VILAMAJO Jaime | 70 |
| 49 | MOSER Francesco | 79 |
| 51 | DELGADO Pedro | 64 |
| 69 | SARONNI Giuseppe | 65 |