Category: R
R
uncategorised
R Question
Apply the logistic regression models we have reviewed in class, including Multiple Logistic Regression, Stepwise Variable Selection, and LASSO, to analyze a dataset of credit card. Please download the following three files to get started The report template where you will paste your screenshots and written answers The starter R script to help you organize […]
Read MoreR
uncategorised
R Question
Question 1 The data contained in smokers.csv reports the findings of Spilich, June, and Renner (1992), who asked nonsmokers (NS), smokers who had delayed smoking for three hours (DS), and smokers who were actively smoking (AS) to perform a pattern recognition task in which they had to locate a target on a screen. The dependent […]
Read MoreR
uncategorised
data analytics question
ECON253: Data Analysis IReport Assignment : Part 1 You need to complete the data analysis for the designated city. will shrae allocated data set
Read MoreR
uncategorised
Colab- R 1
Question 1 Some archaeologists theorize that ancient Egyptians interbred with several different immigrant populations over thousands of years. To see if there is any indication of changes in body structure that might have resulted, they measured skulls of male Egyptians from 5 different epochs. Thomson and Randall-Maciver, Ancient Races of the Thebaid, Oxford: Oxford University […]
Read MoreR
uncategorised
R COLAB 10
Question 1 Some archaeologists theorize that ancient Egyptians interbred with several different immigrant populations over thousands of years. To see if there is any indication of changes in body structure that might have resulted, they measured skulls of male Egyptians from 5 different epochs. Thomson and Randall-Maciver, Ancient Races of the Thebaid, Oxford: Oxford University […]
Read MoreR
Review The Power of Good Design and select three of the ten principles noted for
Review The Power of Good Design and select three of the ten principles noted for good design. Next in R, utilize these three principles in a problem that you will solve. First note the problem to solve, the dataset (where the information was pulled from), and what methods you are going to take to solve […]
Read MoreR
Simple Linear Regression and Predictive Modeling The data for Assignment #10 is
Simple Linear Regression and Predictive Modeling The data for Assignment #10 is the Nutrition Study data.It is a 16 variable dataset with n=315 records that you have seen and worked with previously. The data was obtained from medical record information and observational self-report of adults. The dataset consists of categorical, continuous, and composite scores of […]
Read MoreR
Comparison of Multiple Groups via ANOVA1) Download theNutrion study data and rea
Comparison of Multiple Groups via ANOVA1) Download theNutrion study data and read it into R-Studio. We will work with the entire data set for this assignment. Use the IFELSE( ) function to create 2 new categorical variables. The variable should be defined as: Age_Cat = 1 if Age
Read MoreR
Ticket sales patterns (15 points) i. Create a model to predict ticket revenues o
Ticket sales patterns (15 points) i. Create a model to predict ticket revenues or ticket revenue groups for 2014 using the previous five years of data. ii. Test your model on 2015 data. Comment. iii. Make predictions for ticket purchases in 2016 (Like the Moneyball example, the data of 2016 is missing. Assume that the […]
Read MoreR
I was given this answer, BUT I need the answers to the questions with visualizat
I was given this answer, BUT I need the answers to the questions with visualizations not just the code written out. Ticket sales patterns (15 points) i. Create a model to predict ticket revenues or ticket revenue groups for 2014 using the previous five years of data. ii. Test your model on 2015 data. Comment. […]
Read More