what extra properties does assuming error are iid have why does the error model have to be assumed what are the properties of assuming errors are iid what properties does assuming errors are iid have what extra properties do linear regression model assume what extra properties is implied by assuming iid errors which property of the regression model can be taken for assuming error is uncorrelated or common variance? what is the difference between unicorrelated and average deviation? why are the extra coefficients assumed what is the difference between iid and error what is the extra property of assuming errors are uncorrelated? which property of the linear system is a function of assuming an error is uncorrelated and if all the variables are the same? difference between uncorrelated and uncorrelated what extra properties does assuming errors are iid have? what extra properties do error iid have what's the extra properties of assuming errors are iid? what is the difference between errors and variance? what is the difference between error in regression model what extra property does assuming error is iid have does assuming errors are iid have to have a variance when error are iid, what extra properties are added