Questions tagged [regression]
Regression analysis is a collection of statistical techniques for modeling and predicting one or multiple variables based on other data.
regression
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Problem with dynamic linear model -> lagged variable explains 100% of my model
I created a regression model, which regresses a cycle component onto a lagged cycle component and various other variables.
It looks like this:
regoffice4 <- dynlm(
diff(diff(officecycle,1),1) ~ ...
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Keras Transformer regression model not predicting values beyond a threshold
I am currently working on a keras transformer model for regression and I am getting prediction values which are cut off to some specific threshold.
Code:
def transformer_block(self,inputs, embed_dim, ...
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PISA 2022 data R Support
for my dissertation I am using the PISA 2022 dataset. I am using RStudio for this purpose. I am not good at R (I am a humanities student who did a conversion data science degree, which I regret as I ...
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Robust standard errors SPSS
I am running various linear regressions on SPSS - this is exploratory rather than trying to prove a specific hypothesis for reference. Some of the dependent variables have an element of ...
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Multi Output Regression to predict cost and revenue from ROAS and other features
I am trying to predict expected Cost and Revenue for hotel_name and Channel from user inputs: ROAS (Revenue / Cost), hotel_name, and month. I've attempted using Multioutput Regression and the pymc-...
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How can I plot a linear mixed model in R with a regression line and confidence interval that match the data?
I am trying to plot this model: m1 <- lmer(tarsus.yc ~ BMR + MMR + Msum + (1|box), data = p2).
I want one plot per predictor and use the parameter estimates from the full model for the regression ...
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solving the dual optimization Problem of SVR using quadprog
Could someone please take a look at my code and verify if the H matrix, w, and b are correct? I'm working on a project and want to ensure these components are accurate. Your help would be greatly ...
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Need help using "reframe" to run multivariate regression across multiple data sets (changing model from one year to multiple years)
I have a simple multivariate regression model testing the impact of two variables on another over one year (1971). I have a large data set that includes these data over a number of years and am being ...
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How to "average out" multiple curves with sklearn Lasso regression?
The lecture slides here: https://www.cs.cmu.edu/~ggordon/10725-F12/slides/09-acceleration.pdf on page show multiple lines on a convergence plot apparently "averaged out" with Lasso ...
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Hausman test report [closed]
I've been working on a research project using a multi-level regression model, and I'm currently figuring out how to present the Hausman test results. I've seen some papers where authors mention doing ...
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In cumulative mixed effects model(CLMM) both the items of a level column are not being picked
I'm a PhD student in Applied Linguistics and I'm new to using RStudio for my research. I'm working on a project that involves survey data, specifically using a 4-point Likert scale. My study includes ...
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Loki - how to make it show on a screenshot only component without bottom part of Storybook?
I have a question about loki and visual regression tests for which I cannot really supply much of example code, but maybe somebody has come across this problem. I have table components which are ...
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Running regression fit repeatedly in SAS
I have below data for model variable and information on the variables to be considered for regression fit
data Model_Values;
infile datalines delimiter="," missover;
input Y A B C;
...
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Significance of the coefficients of a multinomial mixed regression built with npmlt function
I fitted (using npmlt function) a mixte multinomial regression model which ran without errors.
I expected that the outputs of the model include p-values that I didn't find.
My need now is that someone ...
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How to perform model comparison based on multinom( ) function of nnet package in R? [migrated]
My independent variables are gender and sequence, and the dependent variable is intervention (including 3 intervention methods). I established a multinomial logistic regression model to examine the ...