multiple regression

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    Multiple Regression OR GLM with repeated measures???

    I have the following data set. The average rent per year has been measured in 5 communities (one rent per community) over 10 years. Some of these communities knew at year 1 that they would get a new airport and hence lots of plane noise starting from year 10. My question: Does the...
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    Multiple Regression interpretation

    y=β0+β1x1+β2x2+β3x3 Price = year + (difference between actual miles and average miles, x-xbar) + (year * difference between actual miles and average miles, year(x-xbar)) I am looking at this regression formula, but I don't understand what is going on. Could someone explain it a bit better to...
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    Multiple Regression: real-world example

    Everyone in my Advanced Stats class is completely stuck on this assignment, I don't know where else to turn... Using the paper/article "Predictors of Weight Status following Labaroscopic Gastric Bypass" by Ma, et al. answer the question: "If a 55-year old 300-pound female who is neither...
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    Correlation?

    Hello all, I have accuracy scores on 6 different tests. I have calculated the percentage of the accuracy in each test so that each of the tests has a score on the same scale (0-100%). I want to see how well do each of the 6 different tests correlate with a 7th test. I have been told I should...
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    Multiple regression with explanatory variables from different time periods

    Hello, I am in a pickle again. This time I am worried about the explanatory variables of my cross sectional model. The dependent variable is Sales for 2011 while the explanatory variables are some from 2011, some are predictions for 2011 and others from 2010 and even 2009. Does this situation...
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    Multiple regression with correlated predictors to check for explained variance

    Hi all, I have two predictive and one response variable and I'm trying to develop a model for predictions. Both predictors fit well (one slightly better than the other) and are well correlated each other (R2 = about 0.6-0.7). Anyway, when they are both used in multiple regression the fit...
  7. L

    multiple regression with power law relationship [help!!!]

    I am trying to carry out multiple regression of a dependent variable (DV)with 2 independent variables (IV1 & IV2) that exhibit power law relationship with the DV. i.e. DV = a*IV1^b and also DV = c*IV2^d where a,b,c,d are the coefficients of the power law relationships When I plot...
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    Multiple Regression - Multicollinearity

    Hi I'd really appreciate it if anyone could help me with this. I'm doing statistics coursework as part of a Psychology degree and have come across an issue regarding multicollinearity. My coursemates have informed me that this can be reduced/eliminated by using a backwards Multiple Regression...
  9. K

    Simple regression vs Multiple regression - how to answer this question

    I am working on an assignment and stuck on whether I need to use a simple regression or a multiple regression. Any help would be appreciated. Basically what I need to do is to find out whether or not the relationship/correlation between two variables (in this case Degree GPA and Grade 12...
  10. S

    Multiple Regression Number of Variables and Predictors?

    Hi Could someone please help me with this question I've been staring at my textbook for hours and it doesn't explain how to find no of variable or predictors.. A researcher gathered 155 observations on four variables: job satisfaction, occupation, industry, and marital status. She wants to...
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    Multiple Regression Analysis Issue

    Hi everyone I have just signed up! I am currently doing a thesis & struggling with my regression model. I am examining the link between profit levels debt levels in the oil and gas industry. My Dependent variable is Profitability, Independent variables are Debt/Size of company/Growth rate of...
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    Make predictions with standardized coefficients

    Hello, I've been struggling with a problem since a while, hopefully someone here could help me out. The problem: I want to use the coefficients from a previous research to make a prediction equation. The problem is that the paper only lists the standardized (beta) coefficients of the...
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    Correlation of three continuous variables with no predictor

    Hello talkstats! Thank you for existing, I found many answers here and the fact that there are people willing to help you with the stats is great! :tup: I will first explain my experimental design and then ask the question. I have 10 animals from which I took 3 organs. On each organ I...
  14. S

    Help with multiple regression analyses for attachment data

    Hi all, Would appreciate it if anyone could direct me with some really helpful info with regard to the subject matter. I've a dataset of ECR data and I should be getting 2 scores on the anxiety and avoidance dimensions. Question is, I don't know where to go from there. Thanks guys...
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    Interpreting Multiple Regression vs Correlation

    Hi, I'm analysing the results to a satisfaction survey. I want to work out the key drivers of satisfaction so I'm using a question relating to overall satisfaction as my dependent variable and other satisfaction questions such as satisfaction with cost and product features as independent...
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    Linear R^2 Values as Percent Weights for Multiple Variable Formula?

    Hey guys, Statistics is not my strong suit.. The closest I've been to statistics is a college level Biology II class I took three years ago.. But I'm trying to learn. I have a website and two mobile apps where I've been collecting data from people for the past 5-6 months and would like to...
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    Interpretation of coefficient differences across sample groups (please help!?)

    Hello! Before I start the whole story, I am going to sumamrize my main question beforehand so the story will hopefully make more sense. Mainly, I want to now how to interpret the results of a regression which I ran in a manner requested by my professor. Next, I would want to know how to...
  18. A

    Mallows Cp selection

    I am using the best subsets method in Minitab to select the best parameters for a multiple regression, but I'm a bit confused on Mallows Cp. Some sources I've read say to go with the best adjusted R2 that has the smallest Mallows Cp statistic, but other seem to say to go with the Mallows Cp...
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    question on complete confounding and partial confounding in multiple regression

    While learning multiple regression, I once meet the concepts of “complete confounding” and “partial confounding” In the model, the response variable is referred to as Y. There have two predictor variables: X1 and X2. With respect to the complete confounding, the correlation between X1 and X2 is...
  20. S

    Venture Capital methodology

    Hi, and apologies beforehand of what might become a wall of text. We are working on a project to define value drivers in VC-firms, where we might get access to cash flows from individual projects that a number of VC-firms have invested in. What we want to figure out is which activities...