regression analysis

  1. StrangeCharm

    Which approach to evaluate small spatial variations in temperature?

    I am evaluating whether utility-scale solar energy plants affect the surrounding climate (initially temperature). An effect has been found in one paper using the approach described below/attached but when repeating this approach I find no effect for the same site. I want to be sure that there...
  2. C

    Standardize one predictor variable or all predictor variables to solve multi-collinearity

    I was using a fixed-effects panel model with interaction effects when I realized that the VIF values are too high for some variables. I was advised to standardize the predictor variables to mitigate multi-collinearity. My question is that can I standardize just 1 predictor variable or must I...
  3. S

    Trying to understand and correlate the meaning of OR and p value in the univariate logistic regression

    Dear members, Just a newbie to statistics. Request your help with understanding this table below I have serious doubt in the results of statistics that I have done with regard to the odds ratio and p value that I obtained. My question is that how come that when the OR is low the p value is...
  4. L

    Forecast Model

    Hi, everyone, Based on the forecast turnover, I am supposed to predict various activities (such as the number of manually entered orders, number of phone calls etc. (17 activities in total) in a company.My first thought was to do a linear regression per activity to be predicted. Means to...
  5. S

    How to Improve my Hosmer-Lemeshow Goodness of Fit Significance Value

    Hi, I'm just wondering if anyone here can help me. I'm making a model for my logistic regression. For the variables, I'm using 1 Dichotomous Dependent Variable (Financial Distresss, Y) and 2 Continuous Independent Variable (Corporate Governance Score, X and VAIC Score, Z). I'm using logistic...
  6. F

    Two dummy variables are mutually exclusive

    Hello all, I have a problem for a university assignment that two dummy variables are mutually exclusive. The task is to estimate what can increase certain diseases in dogs using regression. In the sample there are several factors (Lives in city yes/no, age, male/female etc....). Then there is a...
  7. T

    How is conditional main effect interpreted when there is interaction?

    I have a question about multiple regression. May I kindly ask how should I interpret the conditional main effect when the interaction is 0 and the coefficients have opposite signs, more specifically if one of the interaction term contains zero such as angle or time. Please see an example...
  8. M

    Negative correlation, but positive effect in multilevel regression

    Hello, I am doing a longitudinal multilevel analyses. I am researching the impact of certain restricting abortion policies of US states on the number of abortions. Furthermore I control for the characteristics of these states. One of these characteristics namely poverty rate of a state, has a...
  9. U

    Which test to use? one predictor variable and 3 dependent variables

    Hello, I'm hoping someone can help me. I am conducting research for my thesis looking at relationship between social connectedness (IV), and diabetes distress, diabetes self-management and perceived competence (DVs). All are continuous variables measured on self-report likert scale...
  10. R

    Help deciding which spss functions to use

    I'll start off saying that stats in general has never been a strong point for me :D The variables i am using are; Gender Age Relationship Status Number of dependants Profession Neuroticism (Higher score = higher neuroticism) Affectivity (Higher score = positive; lower...
  11. A

    De-trending before regression analysis

    I'm currently analysing two sets of time series data (monthly temperature and forest cover over a 10 year period). I first ran a Mann Kendall on each variable (they're non-normal) after removing seasonality, and found that they both show a significant increasing trend - vegetation faster than...
  12. E

    Multiple Linear Regression Assumptions

    Hi guys! I am gonna model multiple linear regression. Do you think that normality of residuals assumption is met according to the P-P plot? Also, consider the homoscadasticity assumption according to the scatter please. I am writing my Bsc. thesis, what should I do if these two assumptions...
  13. L

    Sufficient linearity between predictor and response variables?

    Hello everyone, for a multiple regression I am currently trying to understand if there is sufficient linearity between my predictor and response variables to see whether I can carry on with a regular linear regression. I have three models, with one dependent and the same three...
  14. B

    FE, RE, OLS Cluster?

    Hi all, I've a question which regression model to use? I've the following model: Taxavoid= PC + Before/after + PC * Befor/after tax avoid = continious where PC is ratio variable of political party/ i coudl have used 1 or 0 (REPvsDEM) but, I use ratio, more info. PC= REP / (DEM+REP) so ratio...
  15. L

    Can an odd ratio be as low as <0.001?

    With a 95% CI of <0.001 to >999.999? Any idea what could be wrong? (Sorry about the french output, will gladly provide more info if needed) Thanks a lot!
  16. N

    Best method to determine future success or to determine best linearity?

    Long time viewer, but first time poster, so excuse me if i'm in the wrong place please. Anyway, I am working on a project that is pretty interesting. Through data mining, I am able to gather a ton of investment portfolios. Each portfolio has the obviously related statistics, including total...
  17. V

    Can I remove these outliers?

    Hi, is it acceptable if I remove the outliers with charges above 55k for this regression analysis? Or is there any other option to minimize their impact in the model? Thank you
  18. N

    What Model or Calculator should I use to set the right target?

    I have a production target in which 90% of widgets must be completed within 2 hours. The production process has two main components. Process A + Process B (together these have to be completed within 2 hours, 90% of the time). (quick note: Process A is the simpler process) I want to establish...
  19. A

    Multiple Imputation in SPSS: What to do and report

    Hi everyone :) I'm currently working on a research question where there are 2 categorical predictor variables (one with 2 levels between subjects, the other with 7 levels within subjects) and one continuous response variable. I want to conduct a simple repeated measures ANOVA in SPSS. The...
  20. A

    Do I need to rescale variables to compare coefficients.

    I'm running a regression analysis. My "Y" variable is Yearly_Spend while my "X" variables are Time_Spent (on website in minutes) and Length (of membership in years). Right now my results show Years has a bigger impact on Yearly_Spend. Do get a true apples to apples comparison of the...