#EXCEL REGRESSION DATA ANALYSIS INSTALL#
#EXCEL REGRESSION DATA ANALYSIS DOWNLOAD#

#EXCEL REGRESSION DATA ANALYSIS DOWNLOAD#

Visit the official Microsoft website to download the Power Query Add-In.One effective way to do this is to use Power Query which is integrated into Excel 2016 and later versions, so no separate installation is needed for these versions.

#EXCEL REGRESSION DATA ANALYSIS INSTALL#

In the Add-Ins window, check the box next to Analysis ToolPak and click OK to install it.ĭuring the project you will be asked to clean the dataset, remove missing values and transform categorical data into a binary format.

In the Manage drop-down menu at the bottom of the window, select Excel Add-ins and click the Go button.

In the Excel Options window, click Add-Ins on the left.

Select Options at the bottom of the left-hand navigation pane.

Click the File tab in the top-left corner of Excel.

Install the Data Analysis ToolPak (for Windows): If it exists, the ToolPak has been installed, and you can proceed with the analysis.

Search for the Data Analysis button within the Analysis group.

Follow the steps below to check if the ToolPak has been installed if not, install it manually. You also need the Data Analysis ToolPak to conduct the analysis. To complete this Regression Analysis in Excel project, please install Microsoft Excel 2007 or later. Therefore, your task will be to help the company optimize its pricing and discount strategies, potentially increasing sales and customer satisfaction. That's why The Trendy Shopper aims to leverage its transactional data to understand how factors (product prices, quantity purchases, discounts) affect overall expenditure by utilizing predictive modeling (simple and multiple linear regression). But given the diversity in the customer base and the wide range of products, there may be more effective approaches. It currently uses a one-size-fits-all marketing approach. However, the enterprise is unsure about the impact of product prices and discounts on customers’ spending, which hampers its ability to create an effective pricing strategy to maximize sales and profits.

The company has a broad customer base and a wide range of products. In this Regression Analysis in Excel project, you’ll be working with data from a company in the e-commerce sector, The Trendy Shopper-a fast-growing e-commerce business that offers a diverse selection of contemporary products across various categories, including fashion, electronics, and home decor.

Excel regression data analysis