This type of statistical analysis consists of examining various data points to determine which variables are most notable predictors. Linear regression draws corresponding trend lines, such as ...

Select “Data Analysis” from the Analysis group. If you don’t see it, you may need to add the Analysis ToolPak add-in. Choose “Regression” from the list of analysis tools and click “OK”.

Introduction to bioprocess data analytics: opportunities, types of data analytics problems; supervised, unsupervised, and partially supervised learning; data visualization (software tools using data ...

Julie Barber, Simon Thompson, Multiple regression of cost data: use of generalised linear models, Journal of Health Services Research & Policy, Vol. 9, No. 4 (October 2004), pp. 197-204 ...

One option for working with survey data in R is to use the “survey” package. For an introduction on working with survey data in R, see our earlier blog post. The first step involves creating a survey ...

Various research areas face the methodological problems presented by nonnegative integer count data drawn from heterogeneous populations. We present a disaggregate negative binomial regression ...