regression analysis

  1. E

    Country inclusion in gravity model

    Hi! I will be using a gravity model for my master thesis (not an economics/statistics major) focusing on remittance flows within the EU. I am familiar with the gravity model but have a fairly basic question to which I have not found the answer through books or articles.. or at least I have...
  2. J

    How do I test the significance of my correlation coefficients for various regressions

    Hi, I have a set of 25 points and I used a TI-84 calculator to calculate the linear, quadratic, logistic, exponential, and power regression models for this data set. I have, likewise, obtained the r^2 value for each of these regressions. Some of these r^2 values appear to be quite similar. For...
  3. G

    [R] Shapley values and relaimpo

    Hello everyone! I’ve been pondering this question for some time. I’ve searched online and on this forum and I haven’t found the answer to my question. Throughout my searches online I’ve found that Shapley values are obtained by running all the possible combinations of predictors against the...
  4. J

    Regression following MANOVA results

    Hi Stats Gurus, This question is about a regression analysis that I want to run, but I am not too familiar with this type of analysis. I have conducted MANOVAs to isolate variables that are significant out of the ones that were theoretically relevant for my analysis. I would now like to...
  5. V

    Regression on Survey analysis across 50 states

    I ran a survey across all 50 states in the US. The goal is to see if there is a correlation between people's love for the state and the population growth % over 5 years. The survey has 15 questions - all on Likert scale (1 to 5 Strongly Disgaree to Strongly Agree) - questions about people's...
  6. M

    Trend analysis / regression model with missing data

    Hi, I want to apply a Poisson GLM to count data, analyzing trends. However, there are missing counts (i.e. missing values in the outcome variable) in the dataframe. Is there any recommended method how to deal with this? I know there exists "multiple imputation methods" to fill the gaps in the...
  7. M

    Regression Type Estimation

    Hello, Attached is a time series data that has a plot of the percentage of breakdowns on a scheduled hours across the days. The objective is to predict the value for the next day. I tried to use linear regression to fit the data, but got a p-value higher than 0.05 and R square value less than...
  8. M

    More comlex regression models: Terminology and Software

    Hi, I would like to couple two regression models and solve them simultaneously. That means: I have one regression equation: \hat Y_i = \hat \alpha_0 + \hat \alpha_1 X_i with Y_i \sim N(\hat Y_i, \sigma_1^2) and \hat Y_i is again the predictor in a second regression model: \hat...
  9. C

    Pleease help!? Filling in "blanks" in Regression Output

    Hello! Can someone please explain, I need to fill in the blanks marked They provide this info in a row: Coeff:-9074.674 Std.Err: ?? p-value: 0.000 95% Conf.Intervall: -13272.86, -4876,485 How do I calculate Std.Err & t-stat here? Please help me, thank you! :) Best Regards
  10. M

    ANCOVA versus regression: Independence of the covariate and treatment effect.

    Hi, if you read about the assumptions of an ANCOVA, you find the following assumption: "independence of the covariate and treatment effect". That is, the treatment effect should be randomly distributed between groups representing the treatment, and can be checkt via a T-Test. I dont...
  11. T

    Query: Using independent variables in regression.

    1. When putting in independent variables in regression model, for example "income" and my outcome is health status. I can use income as categorical or as continuous. So how do i decide? My variable (factor) of interest is not income. I am looking at association between sleep duration and health...
  12. G

    Comparing between correlation coefficients

    Hi, I have experimental design which includes 3 dependent variables (Reading Mind in the Eyes test and 2 other measures of social cognition, for the matter of this thread lets call them A, B and C). They are continuous variables. The first research hypothesis was that following treatment...
  13. N

    Identifying numeric algorithm for data analysis

    I want to Study and analyzing of algorithms and make predictions on key data for different sports. There are 3 #'s. 1. the screens predicted number 2. our predicted number 3. the outcome number Prediction works like, #2 predicts the right side of #1 with #3 at a rate of 57% or higher...
  14. Y

    Regression analysis with multicollinearity

    I am using jmp software for analysis... I am looking at prognostic factors that influence survival of patients with a specific type of cancer. Background: younger patients, radiation, chemo, and complete resection (vs. partial resection) of the tumor are known positive prognostic factors...
  15. D

    Model to use, fractions as independent and dependent variables

    Hi, I have some background on doing regression analysis, however never on fractional variables. My question is related to model selection on fractional data. I have collected a data set that consists of fractions, for example I am trying to predict the amount of fixed assets on balance...
  16. M

    Which R-Package / function is appropriate? fixed variance, random coefficients and AR

    Hi, I have time-dependent data which show an inreasing variance with a certain covariate X (which can be modelled using a fixed cariance structure, I guess, i.e. considering sigma*X). Furthermore independence is violated in two respects: 1.) I have multiple measurements in time for different...
  17. M

    Physics Teacher with a question of appropriate use of regression equaitons

    Is it ever acceptable to replace discrete measured values with a continuous function if you are certain you have the right model? For the last week my students have been working on using experimental results and statistical tests as evidence to either accept or refute someone else s or their...
  18. P

    When should a time series model be used

    Consider the following scenario: i have a set of responses y(t),y(t-1),.....y(1), where Y's are continuous and fall between [0,1] , and "t" is the time. A set of predictors x(t),x(t-1),....x(1). Some of these predictors include day of the week, month of the year, etc that "t" falls into. The...
  19. M

    regression for ordinal data?

    Hi All, I am looking at data showing injury to intervertebral discs. Injuries are graded on a 4 point scale with 0 being no damage and 3 being maximum damage. What we seeing is that when there is an injury at one disc, there seems to be an injury in the proximal disc. What we are trying to...
  20. B

    Leave-one-out cross validation

    Hi everybody, I've done a linear regression analysis with forward selection method. my number of observations are 32 and the final model selected 2 independents out of 27 variables entered to the regression analysis. now, I am asked to do a leave one out cross validation for checking the...