# Category: R

#### 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 […]

#### 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

#### 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 […]

#### 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. […]

#### Compute cosines to find out whether Doc1, Doc2, or Doc3 will be ranked higher fo

Compute cosines to find out whether Doc1, Doc2, or Doc3 will be ranked higher for the two-word query “Linus pumpkin”, given these counts for the (only) 3 documents in the corpus: TermDoc1Doc2Doc3 Linus1001 Snoopy140 pumpkin410010 Do this by computing the tf-idf cosine between the query and Doc1, the cosine between the query and Doc2, and […]

#### Textual Analysis of the data for sentiment analysis. Choose from the datasets I

Textual Analysis of the data for sentiment analysis. Choose from the datasets I Textual Analysis of the data for sentiment analysis. Choose from the datasets I provide, apply any of the data analytic techniques (I provided some code for reference) that you feel fit to the data and write a short data analytic report with […]

#### Continuing with the theme of hypothesis testing, this week, we turn our attentio

Continuing with the theme of hypothesis testing, this week, we turn our attentio Continuing with the theme of hypothesis testing, this week, we turn our attention to conducting tests for one sample, two paired samples, and two independent samples. To further develop our understanding of these tests, this assignment will focus on the application of […]

#### Provide in the plain text R commands that finds/solves the following: The stude

Provide in the plain text R commands that finds/solves the following: The stude Provide in the plain text R commands that finds/solves the following: The student directory for a large university has 400 pages with 130 names per page, a total of 52,000 names. Using software, show how to select a simple random sample of […]

#### Provide in the plain text R commands that finds/solves the following: The stude

Provide in the plain text R commands that finds/solves the following: The stude Provide in the plain text R commands that finds/solves the following: The student directory for a large university has 400 pages with 130 names per page, a total of 52,000 names. Using software, show how to select a simple random sample of […]