# regression analysis

1. ### What to add to Binominal Regression? Demographics + motivations?

So i have a binomial regression for predicting monthly spend on clothes based on shopping motivations; describing 65% of the variance. If I put in some demographics this explnattion goes higher to 69%. But can demographics be added to these models like this to get better results or should they...
2. ### How to interpret interaction effects when main effects are also significant

Hi! I am currently writing my thesis, and stumbled upon a problem. I am testing an hypothesis in which I examine an interaction effect. Unfortunately, both the main effect and the interaction effects are significant (see image below). Right now I don't know what to report. So my questions are...
3. ### Winsorizing panel data

Hey :) I am currently working on my bachelor thesis in finance and I faced some problems regarding my dataset. I wanted to analyze the effect of leverage on the performance of companies and as many researchers before me, I wanted to use a multiple linear regression model. My tutor advised me to...
4. ### Need Help with Data for Regression

Hi, I am working on a replication of a research paper where I have to compile my own data to copy the regression done in the research paper. I have never done a regression like this before and I am not sure about the data I chose - I would appreciate any help and input. All the variables I...
5. ### Advice on methodology and analysis, regression.

Dear all, For my Master’s thesis, I have some difficulties with the statistical part of my research. I want to analyze the relationship between two variables: Investment in Innovation (R&D) --> Concentration Ratio 1. Research & Development (R&D) Investments in an industry 2. Concentration...
6. ### How to interpret Standardized Coeff Beta when DV (in %) is transformed using log feature?

Hello everyone, I am analyzing the influence of some stores attributes (e.g., quality, price, in-store service, communication ...) on customer loyalty (more precisely share of wallet = how much a customer allocates to a specific store in %: 0-100). I transformed the dependent variables (share...
7. ### More predictors than observations?

What does it mean when statisticians talk about having more predictors than observations in a regression model? How could that even be possible? Why is it a problem in regression? Apologies, I am new to quant analysis and stats so not quite sure why this is the case? I would appreciate the...
8. ### Categorical Variable Coding Question

Hi! I have a question on the coding/use of categorical variables: In short, I have two control variables in an SPSS regression model. One is participant (15 levels, or participants) and one other categorical variable (10 levels). And there is just one predictor variable in the model. I've tried...
9. ### A little clarification on logistic regression in SPSS

Hi! I need some clarification. I have a dichotomous outcome (not cancer/cancer) and I want to analyze the influence of 5 different variables (2 continous and 3 categorical) in predicting one of the outcomes (cancer). For that I ran a binomial logistic regression on SPSS and I got the following...
10. ### Regression verification

Hello good people of the internet. I was wandering if someone could help me to validate if my data is in control or not? The data consist of a current output, used by a motor to open and close a lid 1000 times in total (1000 cycles). every time the lid opens and closes once I want to observe...
11. ### What statistical test should I use?

Hello, I am currently working on my thesis proposal and am having to state the proposed methods of my data analysis. I am focusing on two aims: 1) analyzing whether individuals with metabolic syndrome have higher rates of depression; 2) analyzing whether individuals with metabolic syndrome...
12. ### Question on Impact of Independent Variable Interpretation

Hi, Suppose i have a normal linear regression construct, like Sales = Intercept + M1*X1 + M2*X2 + M3*X3 Suppose X1,X2,X3 are the statistically significant variables from the model. I want to create some sort of a simulator which says , for X% increase in X1, what is increase in Y...
13. ### [Linear Regression] Regression with aggregated or separated years?

Hello to everyone! :wave: I should do some regressions but i've an important and simple question... my dataset have this structure: |geographic_area|year|sales|popolation| Spain 2000 40 1000 Spain 2001 30 2000 Spain 2002...
14. ### Interaction effects regression wiith dummy variables

Hello everyone, I am doing an analysis about the export diversification effect during the financial crisis. I have my dependent variable as log (GDP per capita) and some independent variables. To measure diversification I calculated an Index which is called HI, this Index takes values from...
15. ### Multi-level analysis, mixed-models: problem with convergence

Dear reader of this post, I'm conducting research where I have 8 mental health care teams and three dependent variables: victimization, discrimination and social functioning. My research question is whether the socioeconomic status (SES) has influence on my three dependent variables. My...
16. ### Modeling portfolio using multiple regressions

Hi All, I'm wondering about the viability of this task. I'm looking to form something similar to an investment portfolio, which aggregates different financial securities and calculates the expected aggregated return and standard deviation. As opposed to using the historical returns and...
17. ### Analyzing Tagged Content: Is a Multiple Regression Analysis the Right Approach?

I’m working with a relatively small data set that consists of several hundred social media posts, key engagement metrics and up to 10 content “tags” that describe the image of each post. We leveraged Google Vision API along with a manual review to construct the tags. I’ve linked to an example of...
18. ### Bootstrapping pairwise not listwise, a problem with N

Hi! Hoping someone more statistically minded can help. I have a number of variables with different N (they are performance measures and some have been removed due to not understanding the task). I want to bootstrap the correlations but when I do this in SPSS it excludes listwise rather...
19. ### MC on Regression Analysis

I wanted to check over my answers based on these practice questions. Thanks (1) True/False: Clustering is an unsupervised learning problem. (2) True/False: Principal Components Analysis can be used to create a low dimensional projection of the data for use with clustering. 3)...
20. ### linear regression practice

I wanted to check over my answers based on these questions Thanks (1) True/False: Clustering is an unsupervised learning problem. (2) True/False: Principal Components Analysis can be used to create a low dimensional projection of the data for use with clustering. 3) True/False...