Hello, I'm looking for a therapist who does Dianetics, and who's NOT affiliated with the Church of Scientology. If anyone knows of such a person or persons and could somehow help connect between us, I would be very grateful to them. [more inside]
If you had a multivariate equation whose output variable is mean surface temperature on earth, what would be the rough beta value for distance from the sun (in millions of miles or whatever)?
*Baby filter* Our 11ish month old has had two super weird bedtimes ("happy happy party time! Hey, did you know I can make farting noises with my mouth? woohoo!") this week and I'm trying to figure out what might be going on, and more importantly what our options are for dealing with it. All the gory details inside. [more inside]
MS Excel's regression tools provide 95% lower/upper confidence results but how does one properly interpret and then express those as a single ± (plus/minus) figure? [more inside]
I'm a 40 year old man, recently single and spending Christmas with my parents for the first time in two decades. They're excited, help us have a good one. [more inside]
Stats filter. I am doing multivariate regression for the first time and I want to understand what I'm doing, having gone beyond my formal training. I have many possible ways I could formulate the regression (different variables to include) and I want to find a model that is both the best possible fit while using the fewest number of variables. How? [more inside]
Statistics filter: If I asses the same paired variables for the same population at multiple points in time, can I integrate the relation into an overall correlation? [more inside]
Excel statistics question (linear regression with weighted data points) [more inside]
How do I calculate the confidence interval for the mean response of some general nonlinear fit? [more inside]
How can I test if one predictor variable in a regression is significantly better than another predictor variable? i.e. If I regress X against A I get an r^2 of .99 and when I regress X against B I get .98. I need a test to see whether this difference is statistically significant. [more inside]
Parentfilter: How do you handle very specific potty training regression issue with a 2.5 year old girl? [more inside]
In an OLS regression the coefficient is b = cov(X,Y)/var(X). What is the plain english interpretation of this coefficient in terms of variations (ie. b is the variation in Y that can be explained by variation in X)? How does this relate to r^2?
How do I estimate the coefficients of this curve using linear regression? [more inside]
Stats filter: Is logistic regression what I need? If so, can I do this in regular SPSS (v17) or do I need the add-on? [more inside]
Suggestions for dealing with an increase in potty accidents in an almost-four-year-old? [more inside]
Can I get Google Spreadsheets to display a scatterplot of data with the regression line overlaid on the plot?
Can I get Google Spreadsheets to display a scatterplot of data with the regression line overlaid on the plot? How? [more inside]
Confused by statistics and regression analysis. [more inside]
How do I check for linearity? [more inside]
How do I convert a large raster image into a table for analysis and manipulation? [more inside]
Ok so I have this huge table of survey data - much of it numerical, much of it binary, some of it from selections from menus of text items (e.g. blue, green, orange etc). Where do I start to find the most noticeable relationships between variables? [more inside]
Looking for free or low cost (under $50) multiple linear regression software which ideally works with Microsoft Excel (but not critical). Any recommendations?
Statistics-filter: I need to establish to what extent student performance on a particular standardized test is predicted by each of the following: GPA, standardized test scores and a couple of other miscellaneous numerical factors. How do I go about this? [more inside]
I've spent the past day or so trying to figure out how to calculate a hidden value in my data. It varies linearly with time, or closely enough that we can make that assumption within any given dataset. Where this goes beyond a simple linear regression is that each datapoint is known to be above or below the hidden value. The data is collected in a C# program and processed in Excel; an Excel function would be the ideal solution. [more inside]
I'm trying to run an ordinal regression in SPSS. Are my independent variables factors or covariates? [more inside]
Statisticsfilter: I need help figuring out how to pound a regression model into submission. [more inside]