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 = -2.4 * weight + 187
This means that on average for every extra kilogram weight a rider loses -2.4 positions in the result.
Kelly
1
77 kgDelgado
9
64 kgMujika
12
73 kgBittinger
34
69 kgNevens
58
58 kg
1
77 kgDelgado
9
64 kgMujika
12
73 kgBittinger
34
69 kgNevens
58
58 kg
Weight (KG) →
Result →
77
58
1
58
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 9 | DELGADO Pedro | 64 |
| 12 | MUJIKA Jokin | 73 |
| 34 | BITTINGER René | 69 |
| 58 | NEVENS Jan | 58 |