QuickHelper

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About QuickHelper

Levels Tought:
Elementary,High School,College,University,PHD

Expertise:
Accounting,Applied Sciences See all
Accounting,Applied Sciences,Business & Finance,Chemistry,Engineering,Health & Medical Hide all
Teaching Since: May 2017
Last Sign in: 352 Weeks Ago, 5 Days Ago
Questions Answered: 20103
Tutorials Posted: 20155

Education

  • MBA, PHD
    Phoniex
    Jul-2007 - Jun-2012

Experience

  • Corportae Manager
    ChevronTexaco Corporation
    Feb-2009 - Nov-2016

Category > Engineering Posted 25 Jul 2017 My Price 15.00

Signature Assignment: Polynomials,

HUMANITIES

Topic: Cultural Studies/Diversity

Education Research

Question 2: How does race/ethnicity and economic status affect college graduation rates?

 

This Assignment Is Over The Same Information As The Previous One, Which Is Listed Above:

The purpose of the Signature Assignment is to have you work with real-life data to answer a real-life question using the tools, technology, and skills of MTH/219. In Week 3, you will determine the type of polynomial your data is best represented. You will use that polynomial to make a prediction about your data.

 

Input your data into Microsoft® Excel® (data and years).

Create a scatterplot.

Insert a polynomial trendline with degree of 4. Make sure to show the equation and the R-square value. Also make sure you label each axis and give a title to your graph. Then repeat this process for a 5th degree polynomial.

Answer the following questions in the same Microsoft® Excel® worksheet. Each question should be 175 to 260 words.

  1. Which of the polynomials fit the data better? How can you tell?
  2. Compare and contrast the polynomial regression with the linear regression from Week 2. What is the best model for your data so far?
  3. What happens to your polynomial models over time? In other words, what do you expect to happen to the value if you measure it 50 years from now?

Save your Microsoft® Excel® file, including the graphic and your commentary.

Your assignment will be graded with the Week 3 Signature Assignment Grading Guide.

 

Below Is The Signature Assignment Grading Guide For Week 3:

Week 3: Grading Guide for Signature Assignment: Polynomials

 

Content (70%)

  

All key elements of the assignment are covered in a substantive way. Major points are stated clearly and are supported by specific details, examples, or analysis.

Inputyour data into Microsoft®Excel®(5%)

…data should have at least 10 data points. (3%)

…top row of data is title or topic (3%)

…source of data is listed (see Mechanics below)

Create a scatter plot (4%)

…with a polynomial trendline of degree 4 (4%)

…show the equation and the R-square value (5%)

…create a title on the scatter plot (3%)

Create a second scatter plot (4%)

…with a polynomial trendline of degree 5 (4%)

…show the equation and the R-square value (5%)

…create a title on the scatter plot (3%)

Create a text box within the Excel spreadsheet to answer the following three questions (3%)

Question #1 – should use the R-square values (7%)

Question #2 – should use the R-square values from both Weeks 2 and 3 in the comparison (7%)

Question #3 – should show evidence of using the regression equation to predict future values (7%)

Comments:

Mechanics (30%)

  

The paper—including tables, graphs, headings, title page, and reference page—is consistent with APA formatting guidelines and meets course-level requirements.

Intellectual property is recognized with in-text citations and a reference page (7%)

Rules of spelling, grammar usage, and punctuation are followed.

Sentences are complete, clear, concise, and varied.

Comments:

 

Here Is The Additional Information Provided By The Instructor To Help With The Assignment:

For Week 3, the assignment deliverable is a Microsoft® Excel® file with four parts:

  1. A table containing your data (same data as in Week 2)
  2. A scatter plot with a polynomial regression line with degree of 4 showing the equation and R-squared value
  3. A second scatter plot with a polynomial regression line with degree of 5 showing the equation and R-squared value
  4. A text box containing answers to the three questions from the assignment. Each response or answer should be 175 to 260 words. Note that we want mathematical answers -- don't just "wing it". For example,
    • Response to Question #1 will have a discussion of the R2 value and how that describes the fit of the line to the data.
    • Question #2 says to compare and contrast the "regression" - that means to compare and contrast the regression line and the R2 values.
    • Your response to Question #3 will demonstrate your understanding of polynomial models (domains).

 

Week 3: Input your data into a new Microsoft® Excel® spreadsheet (or copy the data table from your Week 2 assignment). Create a scatter plot from the data, and insert a polynomial (degree 4) trendline. Create a second scatter plot, and insert a polynomial (degree 5) trendline. Answer three specific questions listed in the syllabus.

 

This Assignment Is On The Same Data Used In Week 2

 

Answers

QuickHelper
(10)
Status NEW Posted 25 Jul 2017 04:07 PM My Price 15.00

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