# multiple regression

1. ### Panel study, multiple linear regression, assumptions

Hey. I am doing a project where I am studying a set of companies over a 7-year period. I am doing a multiple linear regression analysis either with fixed or random effects (so, it's a panel study). What I am wondering is if the general assumptions/requirements apply when using the...
2. ### Expert Help Required - Multiple Regression with Nominal and Scale Variables

Hi all, I'm having huge issues with the assumptions of multiple regression and determining whether I am running my analysis correctly. First of all, I have eight different predictors and one outcome variable. The idea is to determine whether each variable is a significant predictor of the...
3. ### Multiple Regression on SPSS - Correlations and Coefficients

Sorry if this question sounds laughable to any of you. I'm really new to stats and find it quite challenging. I'm a 3rd year Biology student and am investigating the effect of several factors on the number of bats that pass the detector device each night. I have run a multiple linear...
4. ### Regression analysis in R - which variables to include?

Hi all, I am doing causal research between the relation between a dependent variable Y which consists of 4 phases (so 4 dependent variables Y1, Y2, Y3 and Y4) and multiple independent variables X1, X2 and X3. My first step was checking if there were correlations between the Y and X...
5. ### Multiple regression

Is there any way you can control for a variable using multiple regression? In order to see if the relationship reduces or disappears between an Iv and DV?
6. ### Calculating the multiple regression function via canonical correlation analysis

I've got one dependent variable and two independent variables. I need to calculate the multiple regression function via canonical correlation analysis. How can I solve this problem using the eigenstructure examination? I've one dependent so there are only within-correlations and no...
7. ### Repeated Measures model with Covariates

Hi Everyone, i am struggling with finding a good way to analyze a dataset. The design is this: I have 25(n) subjects, all of them are tested in an experiment under 9 conditions. I estimate an electrophysiological index (idx) in every condition for each subject. Now I want to ask whether the...
8. ### Regression for multiple scores obtained from multiple subjects

Hello, I have preference ratings (1-to-7 scale) for k=80 stimuli, obtained from N=30 subjects. I would like to do a multiple regression for these scores, against a small number of weakly-correlated predictors. Some of the predictors are continuous, others are categorical. Also, some of the...
9. ### Regression for multiple scores obtained from multiple subjects

Hello, I have preference ratings (1-to-7 scale) for k=80 stimuli, obtained from N=30 subjects. I would like to do a multiple regression for these scores, against a small number of weakly-correlated predictors. Some of the predictors are continuous, others are categorical. Also, some of the...
10. ### Categorical multiple linear regression analysis - what would you do?

Noob here. I'm doing a project to determine how different factors (race, insurance status) are related to distance from pediatric urologists. I'm thinking of tabulating the mean of each of these factors for several successive distance brackets, i.e. 0-10 miles, 10-20 miles etc. So distance...
11. ### 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...
12. ### Multiple regression analysis - Linearity/homoscedasticity

Hello, I am currently having trouble determining if my predictors show enough linearity to be used in a standard multiple regression analysis, and if I fulfill the requirement of homoscedasticity. Trying to work through a guide on statistics.laerd.com. Would greatly appreciate your feedback...
13. ### Multiple Regression with Ratio as Independent Variable

I am doing a multiple regression and want to use a ratio (number of support staff to number of students) as an independent variable. Does dividing the numbers and using the resulting number suffice? Or is there something else I should do? Also, how do I determine if it is more appropriate to do...
14. ### I need immediate help on how I can use R to do my project!!

The project that I have decided to take is about how the success rate of a football team (considering a single league of 18 teams) depends on different factors like wages, revenue earned by team, etc.. I need immediate help!!
15. ### Main effect and interaction? Need help interpreting the graph.

We performed a multiple linear regression with valence (negative, positive and neutral) as independent variable, social curiosity as controll variable and recognition performance as our dependent variable. No we got this graph (see attachments). Do we have a main effect and interaction...
16. ### Multiple Regression to receive cost for a single item of an order

Hi everybody, I appreciate any kind of help and tips: Problem: - I have a dataset with 1600 orders - For each of these orders I know the total costs & products included (e.g. 7975€ & A, C, D, H) - I don't know the individual prices for the range of products (in total 80), which would...
17. ### One response variable and multiple explanatory variables (numeric and factor values)

Hello everyone, I am a master student in Biology. I am now trying to analyse my thesis data, but I am facing a problem: I do not understand which test I should use for my large dataset containing one response variable and multiple explanatory variables (factor and numeric values!). Please...
18. ### If B predicts A, can A also predicts B?

Hi everyone, I'm new to multiple regression analysis. I have a question and I hope someone can help answer it. Thank you. In a multiple regression analysis, B, along with several other predictors, was found to be a predictor of A. Literature also says B is a predictor of A. Since A and B...
19. ### Help with multiple dummy variable regression.

I am attempting to forecast claim denials, whether it will ultimately be adjusted off or not. I am running all the data through excel. The information I have is what the denial was, which insurance denied, how much the initial charge was, and how much the adjustment was for. The problem I am...
20. ### Dealing with multicollinearity

I have a following model: y=a+b1x1+b2x2+b3x1x2+b4x3+other terms \$ Let's say, I am only interested in coefficient b3. The magnitude of coefficient b3 is 0.54 and its t value is 4.50 and the magnitude of the coefficient b2 is 2.00 and it's t value is 3.00. Now after including the interaction...