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 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Jungels
1
70 kgPhelan
2
73 kgChristian
4
72 kgGrmay
5
63 kgYates
7
58 kgMorice
8
81 kgMagnusson
9
71 kgLander
10
70 kg
1
70 kgPhelan
2
73 kgChristian
4
72 kgGrmay
5
63 kgYates
7
58 kgMorice
8
81 kgMagnusson
9
71 kgLander
10
70 kg
Weight (KG) →
Result →
81
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JUNGELS Bob | 70 |
| 2 | PHELAN Adam | 73 |
| 4 | CHRISTIAN Mark | 72 |
| 5 | GRMAY Tsgabu | 63 |
| 7 | YATES Simon | 58 |
| 8 | MORICE Julien | 81 |
| 9 | MAGNUSSON Kim | 71 |
| 10 | LANDER Sebastian | 70 |