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Results tagged with regression
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user 10500
Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
1
vote
How can I regress household income on three factors
It's not true or false. It's just saying that more children is correlated with households having lower income. Check the correlation between the two variables. There's certainly no causation here.
We …
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3
votes
Regression model where output is a probability
You could use a Poisson regression and add an offset for the size of each group. See When to use an offset in a Poisson regression? and poisson vs logistic regression for more explanation. …
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2
votes
What do normal residuals mean and what does this tell me about my data?
Normality of the residuals is an assumption of running a linear model. So, if your residuals are normal, it means that your assumption is valid and model inference (confidence intervals, model predict …
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4
votes
Accepted
Using interaction term for describing non-linear relationship in regression model
Yeah, how about a nonlinear regression model. There are a few models that are used all of the time in biostats. …
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2
votes
Formula for non-linear regression in R
A nonlinear regression function is never going to decide the functional form for you. …
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0
votes
Linear regression in matrix notation
I think I found the problem: when you went from the gradient to solving for $\beta$, you didn't reverse the order of the terms.
The inversion should have been
$$(x_nx^T_n)^{-1}=\frac{1}{x^T_nx_n},$$ …
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0
votes
R-code question: model selection based on individual significance in regression?
So maybe it's not a good idea, but here's a start:
#first, some simulated data
y = seq(from = 1, to = 10, by = 0.5)
x1 = y + rnorm(length(y)) #not a significant variable
x2 = y * run …
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1
vote
How to estimate the deposit mix of a bank using interest rate as the independent variable?
Also, I think this is more of a time series problem, not a cross sectional logistic regression problem. …
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1
vote
Accepted
Is it ok to spit non-normal variables in tertiles and put them into multivariate regression ...
You can do this (put a continuous variable into bins) but it's generally considered a loss of information.
It would be appropriate if there is clearly a different effect when moving from one bin to a …
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27
votes
Accepted
Wald test in regression (OLS and GLMs): t- vs. z-distribution
For a standard linear regression, you assume the error term is normally distributed. Here, the variance parameter has to be estimated - hence the use of the $t$-distribution for the test statistic. …
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2
votes
Simple introduction to linear models in R
I've spent a lot of time looking through R manuals. The best one that I've seen is Grant Farnsworth's "Econometrics in R". Check it out: http://cran.r-project.org/doc/contrib/Farnsworth-EconometricsIn …
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