bivariate

  1. U

    Help! What analysis should be performed on a dataset like this?

    I'm sorry but I really need help on how to perform an analysis on these data. This dataset, in which is studied the number of calories emitted during exercise on 24 observations (subjects), consists of three variables, all quantitative: ho (heat output) is the dependent variable and is the...
  2. M

    Pcfinhom and Kcross.inhom unexpected behavior, heterogeneity or not?

    I am currently analyzing the spatial patterns of a tree species using the " spatstat " package - point pattern analysis (pcf, pcfinhom, pcfcross.inhom, Kcross.inhom). I struggle with heterogeneity and bandwidth (selection) concepts and functions output (strange graphs). I posted the data and the...
  3. S

    Generating data from exponential distribution in r.

    Suppose X~exp(.67), Y~exp(.8), Z~exp(.43). X and Y are correlated with a correlation coefficient of -0.6. Again X and Z are correlated with a correlation coefficient of -0.6. How can I generate data from X, Y and Z by incorporating this correlation. I know if they were uncorrelated, I could...
  4. K

    time series with bivariate data?

    I have a datetime (yearly) variable which indicates when/if a subject registered, a count of the 400,000 subjects who registered at each facility and those subjects identified as being asked a particular question upon registration, a dichotomous yes/no. The requester asked that their time to...
  5. J

    Help with interpreting results of a bivariate probit regression please

    I have recently run this regression using Stata and the command biprobit. However, I am a complete newbie to statistics and I need some help interpreting the results. I am mostly confused by the Rho and Wald Chi2 results. A simple explanation would be much appreciated. I have attached a...
  6. D

    Bonferroni correction for bivariate correlation

    Hi all, First of all my level of stats knowledge is fairly basic! I am currently running multiple bivariate correlations on data from a number of self report questionnaires. This has resulted in many significant correlations, and my supervisor has suggested I use the Bonferroni correction to...
  7. victorxstc

    Univariate, Bivariate, Multivariate: Myths and facts

    This is not a question but a summarization of my recent learnings regarding the common mistakes in calling different types of analyses, and to address the proper names for them. I now know that a multiple regression is not a multivariate analysis, although I have seen millions of incorrect...
  8. F

    Comparing Slopes Best Fit Lines Between 2 Groups

    So lets say I have 2 data sets. Both sets contain various types of information about a person, including age as well as other factors relating to health (eg. cholesterol, blood pressure, etc) The difference between the sets is that set 1 is sampled from the general population and set 2 is...
  9. M

    Gaussian Kernel regressions plot

    Hey everyone, I'm trying to make a specific plot in SAS of two variables, X and Y. I want to run a Kernel regression of two variables, X and Y, and then using those results plot the two in a two-dimensional diagram with X on the X-axis and Y on the Y-axis represented by a smooth curve. All...
  10. R

    confused by this statement on bivariate and multivariate

    Hi, I am stuck on this statement: Variables were included in the multivariate analysis if they had a P value of 0.10 in the bivariate analysis. I thought P value of 0.05 or lower meant that the findings were signifcant and we disregard anything above that. No? Please explain. I am just...