Category: Mathematics

Competencies In this project, you will demonstrate your mastery of the following competencies: Apply statistical techniques to address research problems Perform regression analysis to address an authentic problem Overview The purpose of this project is to have you complete all of the steps of a real-world linear regression research project starting with developing a research question, then completing a comprehensive statistical analysis, and ending with summarizing your research conclusions. Scenario You have been hired by the D. M. Pan National Real Estate Company to develop a model to predict housing prices for homes sold in 2019. The CEO of D. M. Pan wants to use this information to help their real estate agents better determine the use of square footage as a benchmark for listing prices on homes. Your task is to provide a report predicting the housing prices based square footage. To complete this task, use the provided real estate data set for all U.S. home sales as well as national descriptive statistics and graphs provided. Directions Using the Project One Template located in the What to Submit section, generate a report including your tables and graphs to determine if the square footage of a house is a good indicator for what the listing price should be. Reference the National Statistics and Graphs document for national comparisons and the Real Estate Data Spreadsheet spreadsheet (both found in the Supporting Materials section) for your statistical analysis. Note: Present your data in a clearly labeled table and using clearly labeled graphs. Specifically, include the following in your report: Introduction Describe the report: Give a brief description of the purpose of your report. Define the question your report is trying to answer. Explain when using linear regression is most appropriate. When using linear regression, what would you expect the scatterplot to look like? Explain the difference between predictor (x) and response (y) variables in a linear regression to justify the selection of variables. Data Collection Sampling the data: Select a random sample of 50 houses. Describe how you obtained your sample data (provide Excel formulas as appropriate). Identify your predictor and response variables. Scatterplot: Create a scatterplot of your predictor and response variables to ensure they are appropriate for developing a linear model. Data Analysis Histogram: Create a histogram for each of the two variables. Summary statistics: For your two variables, create a table to show the mean, median, and standard deviation. Interpret the graphs and statistics: Based on your graphs and sample statistics, interpret the center, spread, shape, and any unusual characteristic (outliers, gaps, etc.) for house sales and square footage. Compare and contrast the center, shape, spread, and any unusual characteristic for your sample of house sales with the national population (under Supporting Materials, see the National Summary Statistics and Graphs House Listing Price by Region PDF). Determine whether your sample is representative of national housing market sales. Develop Your Regression Model Scatterplot: Provide a scatterplot of the variables with a line of best fit and regression equation. Based on your scatterplot, explain if a regression model is appropriate. Discuss associations: Based on the scatterplot, discuss the association (direction, strength, form) in the context of your model. Identify any possible outliers or influential points and discuss their effect on the correlation. Discuss keeping or removing outlier data points and what impact your decision would have on your model. Calculate r: Calculate the correlation coefficient (r). Explain how the r value you calculated supports what you noticed in your scatterplot. Determine the Line of Best Fit. Clearly define your variables. Find and interpret the regression equation. Assess the strength of the model. Regression equation: Write the regression equation (i.e., line of best fit) and clearly define your variables. Interpret regression equation: Interpret the slope and intercept in context. For example, answer the questions: what does the slope represent in this situation? What does the intercept represent? Revisit the Scenario above. Strength of the equation: Provide and interpret R-squared. Determine the strength of the linear regression equation you developed. Use regression equation to make predictions: Use your regression equation to predict how much you should list your home for based on the assumed square footage of your home at 1500 square feet. Conclusions Summarize findings: In one paragraph, summarize your findings in clear and concise plain language for the CEO to understand. Summarize your results. Did you see the results you expected, or was anything different from your expectations or experiences? What changes could support different results, or help to solve a different problem? Provide at least one question that would be interesting for follow-up research. You can use the following tutorial that is specifically about this assignment. Make sure to check the assignment prompt for specific numbers used for national statistics. The videos may use different national statistics. You should use the national statistics posted with this assignment. MAT-240 Module 4 Project One Video What to Submit To complete this project, you must submit the following: Project One Template Word Document: Use this template to structure your report, and submit the finished version as a Word document.

Please do these maths problems for me. There are 18 questions with sub questions under them! Please help me.

Assessment Guidelines
Word limit: Approximately 2000 words
Your assessment should include a Table of Contents page.
Text: Font: Arial or Times New Roman (12), Spacing: 1.5 lines
All text must be justified at each margin.
The length of your answers to each question/s should be in line with the mark allocation. Your answers must include any theories, charts, tables or exhibits necessary to support your analysis and recommendations. Additional research should be consulted when answering the assessment questions.
Ensure that the readings are not merely reproduced in the assessment without original critical comments and views. Cohesive and logical arguments reflecting original thinking are encouraged.
You MUST use theory/literature to support your discussion/observation and opinions. Do not merely extract information from sources used.
References – At least 15 academic sources of reference must be used. (These include textbooks, journal articles and internet sources that are relevant to your field of study. Academic sources do not include Wikipedia and blogs). The MANCOSA study guide must not be used as a source of reference. You must include a Reference list at the end of your assessment. Information quoted/paraphrased from sources listed in your Reference list must be referenced in-text. The Harvard system of referencing must be used.
It is imperative that you proof read and edit their assessments prior to submitting them.
Assessments must be free from errors and of a professional standard. Please attach AI report and plagiarism report of 0%. Please note this is in south African context. Please answer according to the rubric guide. 

Effective Study Strategies

Write a brief summary ( at least 2 paragraph) of what you learned after watching this video.

This presentation should demonstrate growth across three different platforms, which I will provide, for students with IEPs, high-achieving scholars, and low-achieving scholars. The three platforms are iReady, ANet, and Mock Test results. For iReady, the presentation will include overall performance and results from three diagnostics. ANet data will showcase overall performance and performance by standard. Additionally, the Mock Test results will be compared to the NYS state exam results.
Please create a presentation that illustrates this growth using bar graphs, line graphs, or percentages—whichever you think will be the most clear and easy to understand.
I’m not sure how many slides is going to be needed, but please let me know if i need to make any adjustments

LAB #1: LINEAR KINEMATICS
Please complete the Lab 1 document, the charts and the Excel questions. Ignore the comprehension questions. Use the data set provided.

Final exam for concepts of matg
Important Info
The order was placed through a short procedure (customer skipped some order details).
Please clarify some paper details before starting to work on the order.
Type of paper and subject
Number of sources and formatting style
Type of service (writing, rewriting, etc)

writing requirement
The following
are all calculation results，I need a table with all the number
results, and a paragraph with the explanation of these.（The following are
the results of data analysis. The tables are organized and the contents of the tables
are explained as required.）
1.     Try to
summarize tables of the same type into one table（For example,
Tables 1, 2, and 3 are the same type of tables.）
2.     Summarize
the analysis results of all tables into a paragraph of text

Refer to the Learning Activity titled “Introduction to Ratio and Rates: Comparing 
Values.” Describe the technique that was used to solve Example 3: Soda 
Purchase. What other approaches might you use to solve the same problem?
Suppose a customer prefers to work with the criterion “How many items can be 
purchased for $1?” Explain why that might be a meaningful comparison for the 
customer to use, and explain how the comparison would then be able to 
compare two different items having different selling prices.

Dear students, you are required to create a PowerPoint
presentation focusing on the following topics:
. Explain what the FOIL method is.
. Prove the three Special Products of Binomials (use
either the FOIL method or the Distributive Property); and give some examples using special products of binomials .
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