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 + 4
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Wohlberg
1
63 kgReid
2
62 kgMenzies
3
86 kgClarke
6
70 kgYates
8
73 kgBlackgrove
10
65 kg
1
63 kgReid
2
62 kgMenzies
3
86 kgClarke
6
70 kgYates
8
73 kgBlackgrove
10
65 kg
Weight (KG) →
Result →
86
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WOHLBERG Eric | 63 |
| 2 | REID Robin | 62 |
| 3 | MENZIES Karl | 86 |
| 6 | CLARKE Hilton | 70 |
| 8 | YATES Jeremy | 73 |
| 10 | BLACKGROVE Heath | 65 |