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 = -1.5 * weight + 130
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MULLEN Ryan | 77 |
| 2 | DAWSON Christopher | 73 |
| 3 | DUNNE Conor | 88 |
| 4 | ROCHE Nicolas | 70 |
| 6 | O'LOUGHLIN Michael | 72 |
| 12 | BRAMMEIER Matt | 72 |
| 19 | MCDUNPHY Conn | 70 |
| 23 | MCGEOUGH Cormac | 76 |
| 34 | DOWNEY Mark | 74 |
| 35 | BENNETT Sam | 73 |
| 54 | CLANCY Stephen | 63 |