Hi all,
Please bear with me here. I am new and I also am only learning about statistics & regression analysis.
One question about the interpretations of regression coefficient in multiple regression models. I have one variable which comes statistically significant. However it is wrong way around. It is supposed to be positive relationship whereas it comes negatively in relation with the dependent variable. This would not make sense at all logically. The data in question is number of vehicles on a road section. The deterioration of road surfaces is expected to be more when the number of vehicles rise. But the regression model picks this up as a negative factor.
How do I go about this to get the model to recognise this data as a positive factor?
Thanks in advance.
Please bear with me here. I am new and I also am only learning about statistics & regression analysis.
One question about the interpretations of regression coefficient in multiple regression models. I have one variable which comes statistically significant. However it is wrong way around. It is supposed to be positive relationship whereas it comes negatively in relation with the dependent variable. This would not make sense at all logically. The data in question is number of vehicles on a road section. The deterioration of road surfaces is expected to be more when the number of vehicles rise. But the regression model picks this up as a negative factor.
How do I go about this to get the model to recognise this data as a positive factor?
Thanks in advance.