Tagged Questions
1
vote
1answer
35 views
Interpreting regression coefficents when the variables are in proportions
I have the following cross-sectional regression.
per capita car ownership = 0.025*per capita college degrees + 0.012*availability of underground(dummy variable) - 0.287
I am having difficulty with ...
0
votes
2answers
237 views
How to interpret a positive beta coefficient in linear regression?
Could someone provide a sample interpretation for the following:
...
1
vote
1answer
81 views
learning R-understanding calculations for specific variable [closed]
Clarify why the prediction for a female in the example below in related topics (taken from a question by @MsSnowy) do we use the new calculations and not the original lm:
...
3
votes
0answers
271 views
Recovering raw coefficients and variances from orthogonal polynomial regression
It seems that if I have a regression model such as $y_i \sim \beta_0 + \beta_1 x_i+\beta_2 x_i^2 +\beta_3 x_i^3$ I can either fit a raw polynomial and get unreliable results or fit an orthogonal ...
4
votes
4answers
530 views
Can I ignore coefficients for non-significant levels of factors in a linear model?
After seeking clarification about linear model coefficients over here I have a follow up question concerning non-signficant (high p value) for coefficients of factor levels.
Example: If my linear ...
5
votes
3answers
485 views
How to apply coefficient term for factors and interactive terms in a linear equation?
Using R, I have fitted a linear model for a single response variable from a mix of continuous and discrete predictors. This is uber-basic, but I'm having trouble grasping how a coefficient for a ...
