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# Linear Regressive Slope

This study calculates and displays a moving Linear Regressive Slope. The independent variable is the Index \(t\), and the dependent variable is specified by the **Input Data** Input.

Let \(X\) be a random variable denoting the **Input Data**, and let \(X_t\) be the value of the **Input Data** at Index \(t\). Let the Input **Length** be denoted as \(n\). Then we denote the **Linear Regressive Slope** at Index \(t\) for the given Inputs as \(LRS_t(X,n)\), and we compute it for \(t \geq n\) as follows.

For an explanation of the Sigma (\(\Sigma\)) notation for summation, refer to our description here.

#### Inputs

#### Spreadsheet

The spreadsheet below contains the formulas for this study in Spreadsheet format. Save this Spreadsheet to the Data Files Folder.

Open it through **File >> Open Spreadsheet**.

*Last modified Monday, 26th September, 2022.