\u00b7 \u00a0Download the exercise dataset .CSV file from: https:\/\/archive.ics.uci.edu\/dataset\/560\/seoul+bike+sharing+demand
\n\u00b7 \u00a0Read the context and the questions below (Questions 1,2,3 & 4).
\n\u00b7 \u00a0Analyze the Dataset in MS Excel and paste the solutions for each question in this word document (Charts, tables, numbers and explanations).
\n\u00b7 \u00a0Upload a ZIP file with the written answers in .docx (you can use this file as a template) plus the excel file with the workings in .xlsx.
\nContext:
\nThe dataset contains count of public bicycles rented per hour in the Seoul Bike Sharing System, with corresponding weather data and holiday information. Currently Rental bikes are introduced in many urban cities for the enhancement of mobility comfort. It is important to make the rental bike available and accessible to the public at the right time as it lessens the waiting time. Eventually, providing the city with a stable supply of rental bikes becomes a major concern. The crucial part is the prediction of bike count required at each hour for the stable supply of rental bikes. The dataset contains weather information (Temperature, Humidity, Windspeed, Visibility, Dewpoint, Solar radiation, Snowfall, Rainfall), the number of bikes rented per hour and date information. (Sathishkumar and Cho 2020)
\nYour task is to analyze the dataset and answer the following questions to help understand the effects of different weather variables on the demand of rental bikes in the city. These are the variables that the file contains:
\nVariable: \u00a0Type of data: Units:
\nDate \u00a0Date \u00a0
\nRented Bike Count \u00a0Integer \u00a0
\nHour \u00a0Integer \u00a0
\nTemperature \u00a0Continuous \u00a0C
\nHumidity \u00a0Integer \u00a0%
\nWind speed \u00a0Continuous \u00a0m\/s
\nVisibility \u00a0Integer \u00a010m
\nDew point temperature \u00a0Continuous \u00a0C
\nSolar Radiation \u00a0Continuous \u00a0Mj\/m2
\nRainfall \u00a0Integer \u00a0mm
\nSnowfall \u00a0Integer \u00a0cm
\nSeasons \u00a0Categorical \u00a0
\nHoliday \u00a0Binary \u00a0
\nFunctioning Day \u00a0Binary \u00a0
\nQuestions:
\n1. \u00a0Descriptive Statistics and Distributions:
\n\u00a7 \u00a0Describe the following variables: Temperature, Humidity, Wind speed. [10%]
\n\u00a7 \u00a0Represent these variables using at least two types of charts and discuss their distributions\/frequencies. [15%]
\n2. \u00a0Linear Regression:\u00a0
\n\u00a7 \u00a0Perform a linear regression between Rented Bike Count and another quantitative variable of your choice. [10%]
\n\u00a7 \u00a0Discuss the significance and the strength of the relationship between them. Interpret the results. [10%]
\n\u00a7 \u00a0Represent it using a chart. [5%]
\n3. \u00a0Multiple Regression:\u00a0
\n\u00a7 \u00a0Perform a multiple regression analysis to identify the relationships between Rented Bike Count and all the other quantitative variables of the dataset. Discuss the results at a level of significance of \u03b1=5%. [15%]
\n\u00a7 \u00a0What are the coefficients for each variable? Interpret the results. [10%]
\n4. \u00a0Predictive Modeling:\u00a0
\n\u00a7 \u00a0Create a linear regression equation to predict Rented Bike Count. [15%]
\n\u00a7 \u00a0Using the equation, predict the number of Rented Bike Count on the 2\/12\/2017 at 17:00. [5%]
\nWhich variables are more relevant to predict the Rented Bike Count? Interpret the results. [5
\no \u00a0Wordcount: between 50 min and 500 max words per bullet point.
\no \u00a0Cover, Table of Contents, References and Appendix are excluded of the total wordcount.
\no \u00a0Font: Arial 12,5 pts.
\no \u00a0Text alignment: Justified.
\no \u00a0The in-text References and the Bibliography have to be in Harvards citation style.<\/p>\n
Have a similar assignment? “Place an order for your assignment and have exceptional work written by our team of experts, guaranteeing you A results.”<\/p>\n","protected":false},"excerpt":{"rendered":"
\u00b7 \u00a0Download the exercise dataset .CSV file from: https:\/\/archive.ics.uci.edu\/dataset\/560\/seoul+bike+sharing+demand \u00b7 \u00a0Read the context and the questions below (Questions 1,2,3 & 4). \u00b7 \u00a0Analyze the Dataset in MS Excel and paste the solutions for each question in this word document (Charts, tables, numbers and explanations). \u00b7 \u00a0Upload a ZIP file with the written answers in .docx […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[15],"tags":[],"class_list":["post-15230","post","type-post","status-publish","format-standard","hentry","category-essays"],"_links":{"self":[{"href":"https:\/\/academicwritersbay.com\/solutions\/wp-json\/wp\/v2\/posts\/15230","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/academicwritersbay.com\/solutions\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/academicwritersbay.com\/solutions\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/academicwritersbay.com\/solutions\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/academicwritersbay.com\/solutions\/wp-json\/wp\/v2\/comments?post=15230"}],"version-history":[{"count":0,"href":"https:\/\/academicwritersbay.com\/solutions\/wp-json\/wp\/v2\/posts\/15230\/revisions"}],"wp:attachment":[{"href":"https:\/\/academicwritersbay.com\/solutions\/wp-json\/wp\/v2\/media?parent=15230"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/academicwritersbay.com\/solutions\/wp-json\/wp\/v2\/categories?post=15230"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/academicwritersbay.com\/solutions\/wp-json\/wp\/v2\/tags?post=15230"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}