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 = -0.1 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Dekker
1
69 kgGiling
2
72 kgNeuville
5
85 kgLelay
6
67 kgMouris
9
91 kgGadret
10
58 kgSoutham
11
69 kgPlouhinec
17
63 kg
1
69 kgGiling
2
72 kgNeuville
5
85 kgLelay
6
67 kgMouris
9
91 kgGadret
10
58 kgSoutham
11
69 kgPlouhinec
17
63 kg
Weight (KG) →
Result →
91
58
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEKKER Thomas | 69 |
| 2 | GILING Bas | 72 |
| 5 | NEUVILLE Jerome | 85 |
| 6 | LELAY David | 67 |
| 9 | MOURIS Jens | 91 |
| 10 | GADRET John | 58 |
| 11 | SOUTHAM Tom | 69 |
| 17 | PLOUHINEC Samuel | 63 |