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 ...
Could someone provide a sample interpretation for the following: ...
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: ...
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 ...
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 ...
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 ...