The Regression analysis tool performs linear regression analysis by using the “least squares” method to fit a line through a set of observations.You can analyze the relative standing of values in a data set. The Rank and Percentile analysis tool produces a table that contains the ordinal and percentage rank of each value in a data set.The Random Number Generation analysis tool fills a range with independent random numbers that are drawn from one of several distributions and you can characterize the subjects in a population with a probability distribution.Each forecast value is based on the following formula. This tool might be used to forecast sales, inventory, or other trends. A moving average provides trend information that a simple average of all historical data would mask.
The Moving Average analysis tool projects values in a forecast period, based on the average value of the variable over a specific number of preceding periods.This tool generates data for the number of occurrences of a value in a data set. The Histogram analysis tool calculates individual and cumulative frequencies for a cell range of data and data bins.The Fourier Analysis tool solves problems in linear systems and analyzes periodic data by using the Fast Fourier Transform (FFT) method to transform data.The F-Test Two-Sample for Variances analysis tool performs a two-sample F-test to compare two population variances.It uses the smoothing constant a, the magnitude of which determines how strongly the forecasts respond to errors in the prior forecast. Exponential Smoothing predicts a value that is based on the forecast for the prior period, adjusted for the error in that prior forecast.The Descriptive Statistics tool generates a report of univariate statistics for data in the input range, providing information about the central tendency and variability of the data.The Covariance tool can be used in the same setting as Correlation when you have N different measurement variables observed on a set of individuals, and like Correlation, it will give you an output table (matrix) that illustrates the covariance between the two variables.This tool examines a pair or measurement variables and determines whether they tend to move together, or correlate. The Correlation worksheet calculates the correlation coefficient between two measurement variables when measurements on each variable are observed for each of N subjects.Anova is used to see if there is any difference between groups of some variable. The Anovaanalysis tools (single factor, two-factor with replication, two-factor without replication) provide different types of variance analysis.We won’t get into every one, as a few of them are subsets of more general functions.
There are 19 different functions found within this feature.
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