Category: R

Topic: Analyzing and Visualizing Data Question: Review the attached file. Suzie has an issue. She can either move to NY or FL and needs to review some data that her agent gave her. The agent reviewed house prices and crime ratings for houses that Suzie would be interested in based on her selection criteria. She…

requirement and data: https://www.dropbox.com/scl/fi/scbap7jvls2cay2vppkcs/ARE106_HW1_F2024.zip?rlkey=um5t20bt4kfj0jm9ui4txfqja&st=c1tbj908&dl=0

requirement and data: https://www.dropbox.com/scl/fi/scbap7jvls2cay2vppkcs/ARE106_HW1_F2024.zip?rlkey=um5t20bt4kfj0jm9ui4txfqja&st=c1tbj908&dl=0

1. Suppose there is a population of 1000 people and 500 of them have already adopted a new behavior. In the next time period, how many will begin the behavior if there is a constant hazard of .5? What about if the hazard is .5 * current adoption base? Show your work. 2. Draw a…

Instructions Provide the code that parallelizes the following: library(MKinfer) # Load package used for permutation t-test # Create a function for running the simulation: simulate_type_I

The 2 short- answer questions need to be completed by using the software Rstudios, and have detailed explanations and steps. Requirments: Only submit your R code, with your answers embedded as comments in the code. R Markdown files also accepted

Attached is pdf with questions and excel datasheet to answer question #7. R Studio should only be used to solve #7.

Part 1 Data: airfare.csv (download from Module 4 on Brightspace) Every quarter, the Bureau of Transportation Statistics (BTS) takes a survey to track domestic airfares. This time series shows average airfares calculated from BTS (inflation adjusted to 2018 dollars) for U.S. domestic flights from 2004 to 2018. Background: For this part of the assignment, you…

Part 1 Data: airfare.csv (download from Module 4 on Brightspace) Every quarter, the Bureau of Transportation Statistics (BTS) takes a survey to track domestic airfares. This time series shows average airfares calculated from BTS (inflation adjusted to 2018 dollars) for U.S. domestic flights from 2004 to 2018. Background: For this part of the assignment, you…

Data: Credit.csv We are using a dataset of information from 310 credit card holders.. You will also use a second dataset of new cardholders to predict their credit card balances at the end of the assignment. That dataset is called credit_card_prediction.csv Background: For this assignment, you work at a credit card company and you would…