Questions tagged [linearity]

The tag has no usage guidance.

Filter by
Sorted by
Tagged with
0
votes
0answers
13 views

How to test interaction when loglinearity is violated in Cox model?

In a Cox PH regression, I would like to model an interaction between two variables. The problem is that one of the variables breaks the log-linearity assumption. Based on my previous questions (...
0
votes
0answers
25 views

Why is linearity (as in linearity in BLUE) a desirable property for OLS estimators?

By linearity, I do not mean the linearity of the estimators in the OLS regression equation, what I am trying to ask is why are the beta coefficients a linear function of y(i)'s. Why is linearity a ...
0
votes
0answers
38 views

Linearity assumption of logistic regression

Do I have to check linearity assumption of logistic regression (Log odds of outcome with continuous variable) using graph of predicted logodds (by logistic regression) and continuous variable Or ...
0
votes
0answers
37 views

Is there a way to differentiate between linear and non-linear datasets in simulations studies?

I'm trying to find a a measure of "linearity" among different simulated data sets and how I could control for such differences. This idea came from studying Hastie's and Tibshirani's work around ...
0
votes
3answers
60 views

Should one drop independent variables if they don't have linear relationship with the response variable?

I am building a linear regression model using Ridge regression. Some of the independent variables don't have linear relationships with the dependent variable. I've tried to do data transformations on ...
0
votes
1answer
48 views

Linear regression, linearity assumption violated?

Below i have attached a scatter plot showing my dependent variable on the Y-axis and my independent variable on the X-axis I am not sure if the linearity assumption is violated? Can anyone explain ...
0
votes
1answer
29 views

SEM 4 questions - testing linearity, sum score, number of variables, independent variables

For my master thesis I'm making a structural equation model. However, I do not have much experience with this. So here are some different questions. I read that one of the assumptions important for ...
0
votes
1answer
55 views

How to check the linearity of continuous variable in linear mixed model

I'm doing a linear mixed model using lme. In my adjustement factors, I have a continuous varaible (named X1). And I want to check the linearity of this variable using a spline function or a ...
0
votes
1answer
113 views

Model assumption of linearity

I am trying to interpret the outcome of a test for assumption of linearity. This is the dataframe: ...
0
votes
0answers
41 views

Is checking for normality and linearity in this way correct?

Testing normality using a significance test is a little bit useless especially when you have a large sample size So, recently I found a way to test normality by running a fake regression using ...
0
votes
0answers
48 views

BoxTidwell and Interaction term sginifance vs plotting predictors against logit in logistic regression

I am running a logistic regression in R. After boxTidwell() I discoevered that the linearity assumption of logistic regression is violated. Decided to explore further with ploting the predictors ...
2
votes
1answer
30 views

What is relation betwen linearity assumption in OLS and L in BLUE (i.e. OLS is BLUE)

The linearity assumption says that the dependent variable is linear in parameters. When Gauss-Markov assumptions hold, OLS is BLUE, meaning smallest variance amongst Linear Unbiased estimators, where ...
2
votes
0answers
50 views

How do Component + Residual Plots look like in Polynomial Regression?

Components + resiudal plots or partial residual plots can be used to detect deviations from linearity in multiple linear regression. They work by plotting the variable on the x-axis and the component+...
1
vote
0answers
19 views

linear relationship [closed]

Could the data points fall on the regression line to assume that the relationship is linear, please check the attached photo what if the scatter plot shows that the relationship is linear but the ...
1
vote
0answers
19 views

Linear Unconditional X-Y, Non-Linear Conditional X-Y

Intuitively, I can imagine that an unconditional (i.e., unadjusted for any covariates) Y~X relation can present as a linear relation, whereas a conditional Y~X|Z relation can present as a non-linear ...
5
votes
1answer
759 views

Ways of Testing Linearity Assumption in Multiple Regression apart from Residual Plots

I was going through the assumptions of linear regression and of course one of them was linearity between the dependent and the independent variables - to be precise I should say that the assumption is ...
1
vote
0answers
132 views

ANCOVA - Non-linearity of covariate

I have a dataset where I calculated genetic distances between populations of some animals (a continuous variable). I want to know if these differences are explained by physical or/and ecological ...
4
votes
1answer
599 views

Cox PH linearity assumption: reading martingal residual plots

According to a lot of ressources about Cox PH model, continuous numeric variables should be tested for linearity assymption by plotting the Martingale residuals. In R, you can use ...
3
votes
2answers
434 views

Cox PH model: managing continuous variables and linearity assumption

In an epidemiological study, I'm using martingale plot to assess the linearity of continuous variables. Here are the Martingale Residuals (from Null Model) using R's ...
1
vote
1answer
51 views

Violation of linearity?

Can anyone tell me if, based on this image, the linearity assumption is violated in my model?
0
votes
1answer
51 views

Linearity assumption with dependent indicator variable and continuous independent variable?

If i have a regression model with the independent variable as continuous, while my dependent variable is a dummy variable (only one independent variable) then will the linearity assumption hold ...
1
vote
1answer
274 views

Diagnosing linearity for multiple regression model

I have the following model in R to estimate the change in mosquito abundance each year when controlling for climate variables: ...
1
vote
1answer
832 views

The best way to check the linearity assumption in ANOVA (except using scatter plots)

I was wondering that ANOVA is based on linearity assumption. If Yes, how can I check the linearity between observations. I know using plot would be useful but it is difficult to find the degree of ...
3
votes
2answers
591 views

Convexity, linearity and their combination for MLE

I'm going through Murphy's ML a Probabilistic Perspective book and in chapter 9 we have the following excerpt talking about the MLE of exponential family distributions: My question is: How do we ...
2
votes
1answer
2k views

Interpretation of residual plot for mixed effect linear model

I am trying to do mixed effect regression model with lme4.lmer function. The model has two fixed categorical variables, one random categorical variable and response is continuous variable (distance in ...
4
votes
0answers
2k views

Does the Box Tidwell test for linearity of the logit require predictors to be in the range [0,1]?

Given a multinomial logistic regression model with 4 independent variables, 4 relevant interactions and a dependent variable with 3 categorical outcomes, I wanted to test for linearity of the logit. ...
2
votes
1answer
233 views

Problems with zero values when testing for linearity of the logit

From Field's 'Discovering Statistics using SPSS' I read that you should test for linearity of the logit when using a logistic regression. The process explained in the book covers the natural log ...
1
vote
1answer
2k views

help for interpreting the residuals vs. fitted values plot

I have an ordinal variable (scale of stress) considered as continuous predictor in a multivariate linear regression. I would like to verify the assumption of linearity and this is my residuals vs. ...
3
votes
0answers
142 views

reconciling Linearity and Multicollinearity assumptions in ANCOVA

For ANCOVA, many textbooks and other resources require, among other assumptions, that covariates be linearly related to the dependent variable, which makes sense. However, many of the same sources ...
15
votes
2answers
13k views

The linearity of variance

I think the following two formulas are true: $$ \mathrm{Var}(aX)=a^2 \mathrm{Var}(X) $$ while a is a constant number $$ \mathrm{Var}(X + Y)=\mathrm{Var}(X)+\mathrm{Var}(Y) $$ if $X$, $Y$ are ...
2
votes
1answer
472 views

When performing a linearizing transformation, do I apply transformation to dummy variables?

Suppose I wanted to transform variables to achieve linearity (e.g.), would I omit the dummy variables from the transformation? ...
1
vote
1answer
308 views

Non Linear Regression -Regression Trees

For datasets of higher dimensions, how do I decide if a Linear model is sufficient to fit the data or if I have to use non linear models like regression trees to fit the data ? NOTE:I did try both ...
2
votes
1answer
65 views

Is there a test to verify that data is linear or rather logarithmic?

I've done two small experiments, and if I visualize that data, it seems as there is a linear trend in the first one, and a logarithmic trend in the second. Is there a test to verify that this is ...
1
vote
0answers
290 views

How to graph continuous independent variable and logit of dichotomous outcome in SPSS

First question: I am using SPSS, and I want to graph the logit of my dependent variable on the y axis and my continuous independent variable on the x-axis. I am interested in visualizing the ...
3
votes
2answers
2k views

Interpreting linearity in residual vs. fitted plot

I am working on a linear regression model and I am not sure how to interpret the following residual vs fitted values plot. For all I know residuals are supposed to fluctuate randomly around 0 which ...
5
votes
1answer
3k views

How to interpret the direction of the Harvey-Collier test and Rainbow test for linearity?

I implemented both those tests with R, using the lmtest package. Both tests directionally say the same thing (I think) with a very similar p-value of very close to 0. But, are those tests saying ...
3
votes
0answers
749 views

Pregibon test for linearity vs. Ramsey's RESET test

Does every Ordinary Least Squares (OLS) regression model have to pass both the Pregibon Test for Linearity (sometimes called link-test) and the Ramsey RESET tests? I am working on an OLS model and it ...