Therefore, in our enhanced multiple regression guide, we show you: (a) how to use SPSS Statistics to detect for multicollinearity through an inspection of correlation coefficients and Tolerance/VIF values; and (b) how to interpret these correlation coefficients and Tolerance/VIF values so that you...
it tends to diminish multicollinearity, especially between the interaction effect and its constituent main effects; it may render our b-coefficients more easily interpretable.We'll cover an entire regression analysis with a moderation interaction in a subsequent tutorial. For now, we'll focus on how...
Determining whether there is multicollinearity is an important step in multinomial logistic regression. Unfortunately, this is an exhaustive process in SPSS Statistics that requires you to create any dummy variables that are needed and run multiple linear regression procedures. Assumption #5: There needs...
Learn about factor analysis - a simple way to condense the data in many variables into a just a few variables.
line plot. However, when you have more than one independent variable, you can’t use a fitted line plot and you’ll need torely on residual plots to check the regression assumptions. For our data, the residual plots display the nonrandom patterns very clearly. You want to see random...
checkforheteroskedasticity,normality,autocorrelation,andmulticollinearityaswellaploretechniquesfor variableselectionanddevelopspeciallyconstructedvariables. 1.Introduction Thispaperdiscussesthedevelopmentofamultivariateregressionmodeltopredicttheretailpriceof2005 GeneralMotor(GM)cars.Statisticaltextbookstypicallyoffermanysmalldataset...
If you’re learning regression and like the approach I use in my blog, check out myIntuitive Guide to Regression Analysisbook! You can find it on Amazon and other retailers. Note: I wrote a different version of this post that appeared elsewhere. I’ve completely rewritten and updated it fo...
The variance inflation factor indices of both quality and structural parameters were below 1.5 (Table 1), indicating that the analysis was not affected by the multicollinearity. The least squares regression analysis revealed that both mineral density and AGEs content were important quality parameters acc...
Resilience has been found to have positive impacts on college students’ well-being and mental health. However, we still lack knowledge on how and und
In the Internet age, some online factors, such as online self-presentation, related to life satisfaction have received much attention. However, it is uncle