There are two assignments associate with this. First assignment has to be completed first in order to do the secon assignment but they are both separate assignments

Overview

While bivariate regression is used to predict the impact of one independent variable on one dependent variable, multivariate regression is used to predict the impact of two or more independent variables on one dependent variable.

In this scenario, you will continue to work as a business consultant trainee with the superstore client. The superstore would like to know which variables have an impact on its sales revenue and number of orders. Your vice president would like you to perform two multivariate regressions to analyze the data. Remember that the superstore is interested in whether specific trends are identified that can help grow its business through improved operations and sales. You have decided that the best analysis will be to perform multivariate regressions.

For each of the regressions, your dependent variables will be sales revenue and number of orders, respectively, and you will be selecting two independent variables. Then you will write a report for the superstore in which you describe the regression modules and the variables you chose to analyze. Additionally, you will explain why you chose to analyze those independent variables.

Prompt

Your task is to perform multivariate regressions using Excel. You will also write a short report that describes the regression model you used and why you chose to analyze these selected independent variables.

1. Perform two multivariate regressions on the data using the  to complete this step. This workbook also contains your work from previous modules. Both multivariate regressions should analyze Sales with the two independent variables of your choice.
• Create one multivariate regression that is placed in the Multivariate_Regression_1 worksheet.
• Create one multivariate regression that is placed in the Multivariate_Regression_2 worksheet.
2. Explain the results of the multivariate regression. For each multivariate regression performed, address the following:
• Why did you choose your selected independent variables?
• Explain the regression model used.
• Include the key regression output values that include: R2, p value, intercept, and coefficients.
• Explain the regression equation performed.

Guidelines for Submission

• Superstore Excel Workbook: Submit the Excel workbook. This should include the two additional worksheets from this milestone: Multivariate_Regression_1 and Multivariate_Regression_2.
• Short Report: Submit a Word document using double spacing, 12-point Times New Roman font, and one-inch margins. This assignment should be 1 to 2 pages in length. If references are included, they should be cited in APA format. Consult the for more information on citations

Overview

A dashboard is a collection of charts and analyses. Executive dashboards play a significant role in business intelligence. They provide vital information at a glance and a deeper understanding of an organizations current situation. Dashboards are used as a point in time, a high-level view of a business or organization.

In this scenario, you will continue to work as a business consultant trainee with the superstore client. The superstore has requested that you create a dashboard so leadership can effectively and efficiently have key insights about their sales revenue. Remember that the superstore is interested in whether specific trends are identified that can help grow its business through improved operations and sales. You are required to identify two key charts and a regression for presenting your analysis. The dashboard should depict clear insights from your analysis and findings.

Prompt

Specifically, you must address the following rubric criteria:

1. Identify key charts for the dashboard.
• Use your completed worksheets in the  to complete this step.
• Identify two charts that you created in previous modules to include in your dashboard.
2. Identify a key regression for the dashboard.
• Use your completed worksheets in the  to complete this step.
• Identify one regression that you created in previous modules to include in your dashboard.
3. Create a table that summarizes the key regression.
• The table should show your dependent variable, independent variable, p values, and R².
• You do not need to paste the entire output.
4. Create a dashboard that includes the following:
• Two key charts identified from previous modules
• One table that summarizes the identified regression from previous modules
• A header and title
5. Explain why you chose the identified charts and regression.
• What insights do your selected charts offer?
• What insights does your selected regression offer?

Guidelines for Submission

• Superstore Excel Workbook: Submit the Excel workbook. This should include one additional worksheet: Dashboard.
• Short Report: Submit a Word document using double spacing, 12-point Times New Roman font, and one-inch margins. This assignment should be 1 to 2 pages in length. If references are included, they should be cited in APA format. Consult the for more information on citations.