{"id":87155,"date":"2022-08-12T20:17:17","date_gmt":"2022-08-12T20:17:17","guid":{"rendered":"https:\/\/assignmenttutors.net\/blog\/time-series-analysis-nordstrom-economics-homework-help\/"},"modified":"2022-08-12T20:17:17","modified_gmt":"2022-08-12T20:17:17","slug":"time-series-analysis-nordstrom-economics-homework-help","status":"publish","type":"post","link":"https:\/\/assignmenttutors.net\/blog\/time-series-analysis-nordstrom-economics-homework-help\/","title":{"rendered":"Time series analysis nordstrom | Economics homework help"},"content":{"rendered":"<div>\n<p>\u00a0Time Series Analysis Powerpoint (Nordstrom)<\/p>\n<p>Part 1: Time Series analysis: discuss the revenue data similar \u00a0to what I have showed in the Sear example is expected: scatter plot of \u00a0revenue; linear trend; moving average; structural break. Your company \u00a0revenue may not exhibit strong seasonality. For practice purpose, you \u00a0are required to fit a moving average to your revenue data nevertheless.\u00a0<\/p>\n<p>First explain what the graph tells you as a manager about the trend, \u00a0seasonality, and structural break in this company data. Then conduct \u00a0research to find out how management actually made the decisions in the \u00a0data.<\/p>\n<p>\u00a0Note: you do not need to provide the graphs that cannot be obtained \u00a0using Excel (eg. the four figures shown in the second to last slide in \u00a0the Time Series Analysis ppt file)<\/p>\n<p>Part 2: Linear regression using Macro data:<\/p>\n<p>a. Select one variable from the macro data file that you believe can be highly correlated with the revenue data.\u00a0<\/p>\n<p>b. Run a simple linear regression using the macro variable as the \u00a0independent variable and the revenue data as the dependent variable. \u00a0Report the regression results: show the excel output.<\/p>\n<p>\u00a0c. Note that the dates for the revenue data and macro variables do \u00a0not necessarily match each other. You will need to determine the date \u00a0range that has available data for all variables and drop the extra data. \u00a0For example, if the date for GDP ranges from 2000 to 2015 and the \u00a0revenue data ranges from 1995 to 2016. Then you would only keep data \u00a0from 2000 to 2015.<\/p>\n<p>\u00a0d. Comment on the significance of the slope coefficient. Briefly \u00a0discuss the relationship (positive or negative) between the dependent \u00a0variable and the independent variable. Is the relationship expected?<\/p>\n<p>\u00a0e. Report R-squared and briefly comment on the fitness of the model based on your opinion.\u00a0<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u00a0Time Series Analysis Powerpoint (Nordstrom) Part 1: Time Series analysis: discuss the revenue data similar \u00a0to what I have showed in the Sear example is expected: scatter plot of \u00a0revenue; linear trend; moving average; structural break. Your company \u00a0revenue may not exhibit strong seasonality. For practice purpose, you \u00a0are required to fit a moving average [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-87155","post","type-post","status-publish","format-standard","hentry","category-education"],"_links":{"self":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/posts\/87155","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/comments?post=87155"}],"version-history":[{"count":0,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/posts\/87155\/revisions"}],"wp:attachment":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/media?parent=87155"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/categories?post=87155"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/tags?post=87155"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}