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 - 22
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
O'Loughlin
1
72 kgHealy
2
65 kgMckibbin
5
70 kgMcDunphy
11
70 kgKeogh
13
70 kg
1
72 kgHealy
2
65 kgMckibbin
5
70 kgMcDunphy
11
70 kgKeogh
13
70 kg
Weight (KG) →
Result →
72
65
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | O'LOUGHLIN Michael | 72 |
| 2 | HEALY Ben | 65 |
| 5 | MCKIBBIN Nic | 70 |
| 11 | MCDUNPHY Conn | 70 |
| 13 | KEOGH Cian | 70 |