# regression

1. ### Which method? Categorical data (IV) and continuous numerical data (DV)

Thanks in advance for taking a look at my query I have been trying to get some statistical support from my local research department but I am getting conflicting opinions on which statistical methods I should be using to analyse my data. Any thoughts or insights would be much appreciated...
2. ### SPSS: correlate or regression in broad form

Hey! I was wondering, I have 5 dependent variables and 2 within subject factors with 2 conditions. These are in a broad structure in SPSS, which means i have 20 'SPSS variables'. Now i want to see if there is a correlation between any of the 5 dependent variables. Is it possible to do this in...
3. ### interaction continuous*dummy:possible to treat continuous variable as the moderator?

Hey everyone. This is my first post here so please be kind to me :) . For my thesis my aim is to run a moderation analysis between organizational commitment and training. My dependent variable is job satisfaction. Org.commitment comes from 4 5-point likert-items, therefore I calculated the...
4. ### Simulation for logistic regression in R

Dear All, I would like to simulate data for logistic regression and I need to have below variables x1=numeric (mean=25,std=5) x2=numeric (mean=50,std=10) x3=factor variables with 5 levels x4=factor variable with 3 levels x5=factor variable with 2 levels How can I do that? Thank you
5. ### Reasons and advantages of using an ANCOVA instead of a Regression

Hello everyone, Just wondering if any of you could help me. Just wondering when the variables I’m using can be used for both ANCOVA and regression, what would be the advantages of using an ANCOVA? The way I’m using it is that the impact of the variable of interest is being examined by...
6. ### Multicolinearity test for Multivariate Multiple Regression

Hi, all -- I have multiple independent and multiple dependent variables, some of which are categorical and others quantitative. I've made the appropriate dummy variable columns for the categorical variables. The procedure for testing for multicolinearity for multiple regression is easy...
7. ### a completely randomized experimental design and regression

A company studied the effects of three different methods of promotions on sales of its crackers (labeled as Treatment 1 to 3). Fifteen stores were selected for the study and a completely randomized experimental design was utilized. Each store was randomly assigned one of the promotion types...
8. ### predicting a rv based on past time series results

Hi all, I have 3 previous years data (ie 3 time series) going from 05/05 may 05 - august 25 , the curve for the current year has data plotted from may 05 to may 26th (plotted every Thursday) so how would I use the previous data to predict the curve into the future? Time Series does not...
9. ### [R] How to get normal/ rankit scores from non-normal data with ties.

Hello, I would like to see whether pathogen levels influenced certain bumblebee colony development parameters such as the number of queen pupae produced. Due to non-normality of the data I would like to do a rankit transformation of the data as suggested by [Bishara & Hittner (2012)]...
10. ### dummy regression - unequal sample sizes

Hello, I am conducting a linear regression analysis in SPSS with different variables: - scale, - 2-level nominal, - 5-level nominal (dummy) The sample sizes / frequencies for three of the five levels of my last dummy variables are under the recommended 15% (namely 12,5%, 5% and 5%). Can I...
11. ### Help for simple regression

My research question is: "Can we say that the number of hours of Internet use increases with Internet purchase?" with the variables: - Use of Internet per week (Use in hours) - If respondent has already made a purchase on the Internet (1 = yes, 2 = no) This statement clearly tell me...
12. ### Imputing Missing Values using Regression

I have a table of 4 variables where some of the data is missing and I need to impute the missing values, my table is as follows: X1 X2 X3 X4 1.0 20 3.5 4 1.1 18 4.0 2 1.9 22 2.2 - 0.9 15 - - My notes for this material a quite...
13. ### Stepwise Regression Limitations Explanation

I've recently been working on building a model and have come across a number of different approaches. I'm particularly interested in the limitations of using Stepwise regression as it has a huge amount of criticism online, however I can't find much material detailing why it's a poor method to...
14. ### Linear Regression Interpretation

Hi there, I am running a Multiple Linear Regression analysis. I have 2 predictor variables (self-worth and self-acceptance) and 1 criterion variable (self-esteem). As hypothesized, self-worth and self-acceptance reliably predicted the scores on self-esteem (eg. higher scores on the...
15. ### Help for mediation

Hi, my research question is: "Can we say that the number of hours of Internet use increases with Internet purchase? This influence of Internet purchase on the number of use can it be explained by an attitude becoming more favorable to as we know Internet? " my variables are: - Use of Internet...
16. ### Package similar to relaimpo for binary regression

Dear all, I have a quick question that I’m really hoping you can help me with. I’m looking for a similar package to relaimpo that can be applied to binary/logistic regression in R. More exactly I am trying to find a way to compute the importance of each predictor in the case of a binary...
17. ### Multiple, hierarchal regression - division of p-value?

Hey everybody! I am pretty new to this forum and also to statistics. In these days I try to analyze the data for my Bachelor thesis. I study psychology in the north of Germany. Well, my questions refer to the process and the output of my multiple, hierarchal regression. I have two...
18. ### Regression to compare mean differences?

Hi everyone, I am doing a project with two different groups (clinical and control). I want to compare their scores on a couple of variables (ex: body image disturbance), while controlling for age and BMI. My committee member recommended I do a regression, and noted that it would allow me...
19. ### Anova or Chi Square for checking significant related effects

Hi, I am a newbie to Data Analysis and would be thankful if you could explain to me if for this exercise I use Chi Square or Regression ( looking at the ANOVA table). For each what would be the specific steps? For example for Regression which is the dependent variable, etc. Exercise...
20. ### Compare two regression models

Hi all. I have a standard (level-level) regression model and a regression model which has the same independent variables except one of the independent variables are in log form. How could go about comparing the two statistically speaking?