multiple regression

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    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...
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    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...
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    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...
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    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...
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    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...
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    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...
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    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...
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    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!!
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    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...
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    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...
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    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...
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    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...
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    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...
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    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...
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    Multiple Regression: 3 levels in IV of interest, how to compare between all 3?

    Hi all, I would like to test the following and am hoping to get some assistance as I am new to regression: DV - Brain volume IV - Participant Group (Patient with Mild Symptoms, Patient with Severe Symptoms, Controls) Covariates - Age, Gender, IQ I wish to use multiple regression in...
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    Help with interpretation

    Hi All, Here is what i need help with. I am working with small sample size and this is the result so far. X and Y are not correlated ; however, when I place X in a stepwise multiple regression predicting Y, alongside three (A, B, C) other (related) variables, X and two other variables (A...
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    Regression analysis(?) for multiple independent variables

    Hello all, Apologies for posting an elementary query, but my stats is very rusty. Not looking for an explicit solution, necessarily, just a pointer in the right direction. (And if I've posted to the wrong sub-forum, I'd be grateful for suggestions.) I have N records. Each contains M real...
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    One observation per factor level combination in regression

    Hi... I was wondering if you can perform multiple linear regression with a mix of categorical and quantitative variables, if you only have one observation per combination of the levels of your factors in the regression model? And how do you interpret predictions? Thanks in advance!
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    Combining variables prior to performing regression analysis

    Hello to all. I am running a regression analysis to evaluate if the joint analysis of costs and benefits can explain medicinal plant selection better than only benefits. My 'benefit' variables are 'perceived efficiency' and 'perceived taste' and my 'cost' variable is 'difficulty of acquisition'...
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    How to find correlation coefficients for periodic data?

    Please help: Correlation coefficients for periodic data? I am working on a hedging model for commodity.I have past 36 months data of commodity market price and future contracts price. e.g. on 1st April,2014, market price is x,April contract price = x+1,May contract price = x+2 and June...