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 + 44
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Solleveld
7
93 kgPlanckaert
10
69 kgFignon
13
67 kgYates
16
74 kgDuclos-Lassalle
18
73 kgWeltz
19
65 kgNevens
24
58 kg
7
93 kgPlanckaert
10
69 kgFignon
13
67 kgYates
16
74 kgDuclos-Lassalle
18
73 kgWeltz
19
65 kgNevens
24
58 kg
Weight (KG) →
Result →
93
58
7
24
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | SOLLEVELD Gerrit | 93 |
| 10 | PLANCKAERT Eddy | 69 |
| 13 | FIGNON Laurent | 67 |
| 16 | YATES Sean | 74 |
| 18 | DUCLOS-LASSALLE Gilbert | 73 |
| 19 | WELTZ Johnny | 65 |
| 24 | NEVENS Jan | 58 |