Lab Note: The tools presented in this lab periodically change. Updated instructions, if applicable, can be found in the eBook and lab walkthrough videos in Connect. Case Summary: Time series analysis is a form of predictive analysis to forecast sales. The goal is to identify trends, seasonality, or cycles in the data so that you can better plan production. In this lab, you will create two dashboards to identify trends and seasonality in Dillard's Sales data. The first dashboard will focus on monthly seasonality and the second dashboard will focus on day of the week seasonality. Both dashboards should show the same general trend. Data: Dillard's sales data are available only on the University of Arkansas Remote Desktop (waltonlab.uark.edu). See your instructor for login credentials. Rights Managed Content: University of Arkansas (text) Note: Submit your answers for the following Analysis Questions in the text entry field below. AQ1. Why do you think October 2016 has such a comparatively low sales amount? AQ2. Which trends stand out the most to you? What next steps would be interesting to take