# multiple regression

1. ### Help calculating standard error of intercept

Hi all, I'm running an equally weighted moving average multiple regression with 10 explanatory variables, and I'm looking at the change in alpha (intercept) and betas over time, including change in statistical significance. Since I need to run many regressions (1000+), i'm using Excel and the...
2. ### Two linear regressions or one moderated multiple regression?

Hi everyone, I would REALLY appreciate any help on this since I've exhausted a lot of options for help already. I have a set of a data with multiple DVs, and two within-subjects IVs (2 x 3 design). Say I want to look at one of the DVs and use regression to examine whether there's any...
3. ### Variance of parts equal to variance of whole?

Good morning, I ran a hierarchical regression to test if variables A and B (established in the literature) are mediated by variable C (my research question) when predicting overall performance in a university unit. Block 1 was variables A and B using enter method. Block 2 included variable C...
4. ### Multiple logistic regression - need for interaction checking?

Hello, and thank you for reading this post. I am a medical doctor with limited statistical knowledge, so bare with me... I am trying to answer the question: Does dispatching a critical care team (CCT) to out-of-hospital cardiac arrest improve survival? I have a dataset of 2000 cases and...
5. ### interpretation of intercept and regression coefficient

This is a multiple linear regression problem with two independent variables. dependent: blood pressure independent: stress and age The raw regression coefficients for x1(stress) and x2(age) are 1.373(stress) and 0.581(age) The intercept is (0,68.969) I need to interpret the values I...
6. ### Application of Multivariate Analysis

The following situation is proven valuable where multivariate analysis can be applied. This example is taken from the book Applied Multivariate Statistical Analysis written by Richard A. Jhonson & Dean W. Wichern.: "A study was conducted to investigate the reactions of cancer patients to...
7. ### Regression Using Likert Scales (Total Scores)

I conducted a survey that consisted of 5 different likert scales. I totaled the scores for each scale. I would like to know if the total scores of 4 of the scales serve as predictors of the scores on the 5th scale. I am struggling to determine which regression method, if any, is most...

-----------
9. ### Hedonic regression

What is the rationale behind hedonic quality index and how to interpret it? For any example/explanation beside the Wikipedia, I would be very grateful.
10. ### Can the PCA scores be used as variables in multiple linear regression

Hello, I used PCA to reduce the dimensions of a data set of 10 variables into 2 principal components (describing 82% of variance in data set of 10 variables) and calculated the scores for both PCs for all the samples (n=85). Can I use these PCs (Scores) (separately or together) as...
11. ### Using principle component as explanatory variable in multiple regression

Hello, I used PCA to reduce the dimensions of a data set of 10 variables into 2 principal components (describing 82% of variance in data set of 10 variables) and calculated the scores for both PCs for all the samples (n=85). Can I use these PCs (Scores) (separately or together) as...
12. ### Multiple Linear Regression Problem

Hi, I want to do a multiple regression analysis. I have one Y which are numeric values (sample number = 85) and the following Xs. Sr No Variable Data type Data example 1 Region 4 factor levels Region ABC 2 Class 3 factor levels...
13. ### Plot for multiple regression

Hi All, I have a very basic question. When I run a regression to predict Y from X, I basically draw a scatterplot in excel. I am wondering how something like that would work when I want to predict Y from X1 AND X2? I am not sure what the best way to plot this relationship. Any...
14. ### Multiple regression then Sobel for mediation

Hi, I am doing a mediation analysis. I first ran a multiple regression for IV (2 variables) to mediator. I want to do a Sobel test and use the unstandardized coefficient of the 2 IVs combined. However, I'm not sure where do find that number. Is it the "constant" Is it the R? Is it...
15. ### multiple regression if one corrleation variable is linear, other is nonlinear

Hello, I am working on soil biology. I have a data set of soil CO2 emissions (dependant variable), with a number of other measured variables (independents). I expect that one of the independant variables (A) is a straight linear relationship. But expect that another variable (B), is some...
16. ### Partial Least Square Regression_Interpretation of Result_VIP_Model Equation_urgentpls

Hello! I would like to ask your help about the interpretation of my results. So I am doing an analysis about which among the environmental predictors (X variables) are the most influential in the coral cover dostribution (Y). I was advised to use partial least regression with the type of data...
17. ### Sample size calculation for multiple regression

Hi all! I am struggling with sample size calculations at the minute. I have looked everywhere but all I get is formulas. I have downloaded MedCalc which gives me a number of participants I need per correlation. My supervisor keeps confusing me because she says that it is a different number...
18. ### Linear regression after multiple regression

Please excuse my stupidity - would it make sense to conduct linear regression on the predictor variables remaining after backwards elimination in multiple regression? Any help appreciated!
19. ### coefficient standardization

Hi All, I am working on a 2nd order regression. The span of coefficient is large (say 1:10000). So the coefficients of 2nd order are very big and not in the same order of the 1st. I think it is needed to implement normalization (both coefficients and data). However, after I did the...
20. ### Multiple Regression Analysis including Control Variables

Hi Everyone, Currently I'm working on my masterthesis for which I created a model which was approved by the University. I decided that I want to improve the quality of the model by taking two control variables into account: Age & Organizational tenure. All the variables in this model consist...