One important process in human history was the transition from “hunter-gatherer” societies to settled “complex” civilizations. For this Milestone, you will identify the features of complex societies, analyze real historical examples, and discover how culture can shape civilizations.
Delivery:
This assignment consists of a six-paragraph essay and at least three images (which you will paste into your word document). You must use formal written communication, including organized paragraphs, full sentences, and correct grammar. You must also use parenthetical citations each time you take a fact from a source.
Step 1: Select ONE region to research from the list below:
East Asian Civilizations
Early American Civilizations
Islamic Civilizations
Step 2: Using Acro as your main source, write your essay as follows, incorporating information from your resources to support and strengthen your points throughout. Each paragraph should be 5-7 sentences:
Intro Paragraph – introduce the reader to the region you chose and explain what features your body paragraphs will cover.
Four Body Paragraphs:
Identify at least one of the major religions in the area. Introduce the origins of the religion and how it expanded throughout the region.
Investigate and describe the religion’s key teachings/beliefs, and any other interesting facts you discovered in your reading.
Identify one feature of complex civilizations (other than religion) that is evident in the region you chose – explain what the feature is, provide an example of the feature in the region, and evaluate why it is important to the region.
Select another feature of complex civilizations (other than religion) from the list you covered in class. Explain what the feature is, where it is evident in the region, and why it is important to the region.
Conclusion Paragraph – summarize the main strengths and weaknesses of the societies in the region you read about. Were these societies advanced enough to overpower others?
Step 3: Identify and insert at least three images showing “culture” in the region you chose. You may locate images anywhere online, but you must include a citation and typed caption for each picture. The caption should explain what the image is and what it tells us about your region’s culture.  It is BEST if images are INTEGRATED in the text of the document, not a quick “add on”, but thoughtfully considered.
*Remember, you should be showing culture from the historical era you read about (for example, if you read about the Americas, you would look at Incan/Mayan/Aztec or other native cultures, not American culture in the present day). 

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I need the below project completed. 
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 median 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 median 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 County Data 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 response and predictor variables in a linear regression to justify the selection of variables.
Data Collection
Sampling the data: Select a random sample of 50 counties.
Identify your response and predictor variables.
Scatterplot: Create a scatterplot of your response and predictor variables to ensure they are appropriate for developing a linear model.
Data Analysis
Histogram: For your two variables, create histograms.
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 the two variables.
Compare and contrast the shape, center, spread, and any unusual characteristic for your sample of house sales with the national population. Is your sample representative of national housing market sales?
Develop Your Regression Model
Scatterplot: Provide a graph of the scatterplot of the data with a line of best fit.
Explain if a regression model is appropriate to develop based on your scatterplot.
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.
Find r: Find 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.
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 square footage of your home.
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.

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Overview
The purpose of this project is to appeared first on homework handlers.