Hey guys!
Apologies for the potentially *stupid* question... I'm *very* rusty on my maths and am not getting anywhere with Google's support.
I'm a marketeer, looking at how/if it may be possible to estimate a NBD curve from a limited dataset... my client has given me some 'data' about...
I have some cross-sectional data, where I'm interested in estimating a relationship between the "number of items in use" in sector i of country j and the size of that sector (represented by spending power). There are other control variable. However, I have six (6) sectors and 52 countries. This...
I'm using data from from a publicly available Europe-wide survey of employees which was conducted over a series of waves from 1991-2010. The survey changed slightly each time.
Unfortunately there's a question about childcare that is really important, which changed considerably (initially it...
Hi,
I want to develop a multiple regression equation to predict pollutant concentrations (dependent variable) in runoff using six meteorological parameters (independent variables).
My experimental design involves me getting three observations under the same environmental/test conditions...
hi everyone!!!!I really suck in R, its my first time using it and my teacher is acting like we are professionals!!
so here is the data to import in R:
k=25
url=paste("http://freakonometrics.free.fr/ACT2040-A2013/basedevoir1-",k,".txt",sep="")
db=read.table(url,header=TRUE)
the...
I'm about to use variance partitioning to interpret my results of a given linear regression model and across models and have come across various criticisms of it most notably by Pedhazur*. Also, the criticisms are of both the approaches to VP - commonality analysis and incremental partitioning...
Hey guys!
This is my first post on this booming forum!
I came across a problem that asks "Find the Sum of the squared least squared residual" and All it gives is sigma squared hat and the population and I have searched through the book and I have no idea where to start or what formulas to...
Hi All! I really hope someone can answer my question.
I am building multiple linear regressions and I am testing salient variables one by one at the univariate level to determine whether I should include them.
However, what is the current acceptable limits of p values to include/exclude...