1. W

    Comparing self made models

    Hello! I have a quenstion about comparing models. Not models fitted by R itself, but user defined models. Ill explain through this example: Dataset: Tree Diameter Biomass Model1biomass Model2biomass 1 10 50 45 60 2 7 35 52...
  2. Lukan27

    Help on interpreting linear regression

    Help on interpreting linear regression estimates I'm currently working on a larger assignment, and I need some input how to interpret the results from my/a linear regression. I'm pretty sure I get it right, but as a precautionary measure some input would be lovely. I've websearched and...
  3. R

    Standard deviation and sample size

    Hi. I have no background on statistics, so please just go down to fundamental for me. But here are some basic questions about statistics and standard deviation .... Assuming study from 20 samples (please don't mind the sample size) found that, for example an average American play 3 +/- 2 hours...
  4. R

    Which regression model should I apply?

    Dear all, I want to do an empirical analysis on the risk-return characteristics of venture capital investments across industries applying a discrete binomial tree model. Therefore, I want to do a multiple regression. However, I am struggling with the decision which regression model I should...
  5. D

    Partial Least Square Regression_Interpretation of Result_VIP_Model Equation_urgentpls

    Hello! I would like to ask your help about the interpretation of my results. So I am doing an analysis about which among the environmental predictors (X variables) are the most influential in the coral cover dostribution (Y). I was advised to use partial least regression with the type of data...
  6. J

    AMOS - Confirmatory factor analysis - why the zero's on my error terms?

    Morning, I am trying to complete a confirmatory factor analysis in AMOS (255 subjects, 57 variables, 3 factors). I understand why AMOS automatically sets the regression weights of error terms to 1, however I am not sure what the zeros appearing above every error term are (a 0 with a small 1 to...
  7. P

    Model with discrete variables like step function

    I have some data and I want to use a model such as linear regression to describe the relationship between y and x. 2001 2002 2003 2004 2005 2006 2007 y: 0.1 0.4 0.2 0.5 0.8 0.9 0.2 x1: 0.4 0.4 0.4 0.4 0.5 0.5 0.5 x2: 0 0 0 0 0...
  8. J

    Help with linear regression model?

    I need to construct a linear regression model for the following information but i'm not entirely sure how to do it! S H L D Y 0 0 0 0 7.06 0 0 1 0 4.42 0 1 0 0 8.83 0 1 1 0 7.81 0 0 0 0 7.73 0 0 1 0 6.69 1 0 0 1 11.74 1 0 1 1 9.91 1 1 0 1 12.63 1 1 1 1 12.85 1 0 0 1 9.57 1 0 1 1...
  9. P

    number of variables for a model

    I am now trying to build a cox model: h(t, beta) = h0(t)exp(X*beta) I have selected some variables from the data, and for a category variable, if it contains N categories, I will set up N-1 dummy variables for it, if so, there are 26 variables in my model, is it too many for a model? But...
  10. B

    Advice on Regression Model Using PROC GLM in SAS

    Hi Everyone, thanks for your insight on this. I will try to explain my data set as well as possible. One of the models I am running on my data set includes have 2 continuous IV's predicting 1 continuous DV. However each of these IV's were derived multiple time under differing crossed...
  11. P

    cox model with time dependent covariate

    I am trying to fit a cox model: h(t, beta) = h0(t)exp(X*beta), while X = (x1, x2, ..., xN) but, for instance, x1 is binary with value of 0 or 1, but the hazard ratio of 1 and 0 is not proportional: t: 1 2 3 4 5 6 7 .... hazard ratio: 0.2 0.3...
  12. A

    Sum of squares model proof

    Hello everyone :-) I'm trying my best to prove the formula for the sum of squares model (please excuse how badly i'm going to write this) Betahat'X'Y-n(ybar)squared so far i have that it is equal to (yhat-ybar)'(yhat-ybar) so i just need to show that they equal eachother. I know...
  13. C

    What model should I use? Studbook data

    Hi all, I use R and want to analyze a dataset from a studbook that contains information of populations of the same species on different locations. I want to see if there are differences between these populations. The response variables are Lx (survivorship), which is a probability, and Mx...
  14. M

    Regressing regression coefficients against other sets of data

    Hi guys A bit of a background. I am a trader by profession and have moderate knowledge of stats. I am building a model which prices a futures curve out about one year at any point in time. I started by using the dynamic Nelson and Siegel equation (so a trig function to fit my data) and added...
  15. R

    Which ANOVA to use - sum of squares,model,n-way,one-way?

    Hi all, I want to analyse some data using an Anova. The data are one continuous variable (the thing I was measuring) and one categorical variable (the 4 different group numbers), I also have 3 more continuous data which I want to test for effects on my dependent variable. I really just want to...
  16. X

    sparse time forecast

    Hello to All I have a dataset pertaining to 1980 and 2000. Because I have actual value in 1980 (CR80) and 2000(CR00); I want to make a model that is a forecast for the data point in 2000 using the value in 1980. I want to use covariates from 1980 to predict how good the forecast is. What...
  17. K

    regression? model change over time

    Hey all! This is a question about methods. I am really noob but want to learn. If you have a book or papers to suggest that is helpful to! How can you model change over time? Dependent variable: Interest Rate 1980(IR80), Interest Rate 2000(IR00). I have these for many institutions. Can a new...
  18. G

    Tobit model

    Hello, how does the Tobit model treat censored dependent variable data? I have a dataset with zeros that actually stand for non-zero but missing observations. Which is why I don't want them to be viewed as zeros. How does Tobit apply to this?
  19. P

    No collinearity between dependent and exogenous variables - Implicatrions

    I'm trying to test for autocorrelation in the residuals of an AR(p) model. The stata output is: "the exogenous variables may not be collinear with the dependent variables, or their lags" and no results. Can I conclude from this that the residuals are not autocorrelated? Thank for answering...
  20. S

    step change

    Fir a step change model, is it a linear model ?