Our Excel models are intended to mimic a real-world phenomenon. We use them to design new plants, troubleshoot existing ones, find bottlenecks, optimise energy consumption, and plan production ...

With only one variable in the model, it is unclear whether Visa affects the S&P 500 prices, ... A linear regression model can be created in Excel to make the process simpler.

Learn how to use Excel features to perform risk and sensitivity analysis in a DCF model, and how to interpret the results for better cash flow analysis.

THIS month and next I will show a variety of ways to model a batch process. Excel is a blank canvas that provides immense flexibility with a model’s design. ... Calc 2 is like Calc 1, but instead of ...

Plug and play version of the Solow model in Excel. By adjusting the variables capital share of income, the rate of saving, the depreciation rate of the capital stock and the rate of economic growth; ...

Objective: The objective of this project is to analyze housing prices in a particular locality and identify the factors that significantly influence these prices. By utilizing regression analysis ...

If you want to use Excel's Goal Seek on multiple cells simultaneously, you'll need a much more powerful tool. Fortunately, one such tool comes with Excel. Let's have a look at the Solver add-in.

Most conventional techniques for estimating conditional probability densities are inappropriate for applications involving periodic variables. In this paper we introduce three related techniques for ...

Machine learning is a promising approach for improving such forecasts; however, there exist many potential model types (e.g., regression versus tree-based) to employ. Prior studies have sought the ...