4-3 Project One Submission
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Apr 3, 2024
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Report: Housing Price Prediction Model for D. M. Pan National Real Estate Company
Southern New Hampshire University
Juanita Onasanya
Southern New Hampshire University
MAT240: Applied Statistics
Ole Forsberg
March 27, 2024
Introduction
This analysis determines if the square footage of a property is a reliable indication of the market price of that home. It employs a random sample of fifty homes from various counties in the United States, including the square footage of each property and the listed price of each house. We use linear regression to describe the connection between the variables, and the scatter plot illustrates a linear connection connecting each of the variables. The listing price would be considered the dependent variable (y), whereas the square footage would be considered the independent variable (x). The analysis's findings indicate a positive correlation between the square footage of a property and its listing price; however, this correlation is neither strong nor weak. In addition, the presence of outliers in the data may have an impact on the reliability of the
model used for forecasting.
Data Collection
When producing an objective sample that can be used to accurately represent a population, the sampling process used is an essential component. For the purpose of doing this, I used a sampling technique that included assigning a number between 0 and 1 to each county by means of the =RAND function on the computer. Following that, I arranged the numbers in ascending order, starting with the least and working my way up to the biggest. After much deliberation, I chose the initial fifty counties to be utilized as the sample.
For the purpose of this analysis, the response variable is denoted by the letter (y), which stands for the listed price of properties. In the next step, the square footage of dwellings serves as
the predictor variable, and it is denoted by the letter (x).
Data Analysis
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- Construct a histogram that represents the following data regarding the score ranges for the extrovertive tendencies of respondents to a personality questionnaire. Personality Questionnaire Class Frequency 16-19 9 20-23 3 24-27 8 28-31 7 32-35 7 Copy Dataarrow_forwardA random sample of 100 households has been selected in order to establish a price index for housing utilities. The following average annual figures have been obtained. Housing Utilities 2017 Electricity 1,97 Gas 7,90 0,29 2,40 Telephone Water Price(Rand/Unit) 2018 2,05 8,25 0,30 2,45 2019 2,09 8,60 0,31 2,50 2017 62 9 296 55 Quantities 2018 64 9 297 56 2019 68 10 298 58 . a) Find the price relative for Electricity, using (2017= 100). Interpret. b) Find the quantity relative for Water, using (2018= 100). Interpret. c) Calculate the Laspeyre's price index for 2019, using 2017 = 100. What is the percentage increase in 2019 price over those in 2017? Interpret. d) Calculate the Paasche's price index for 2018, using 2017 = 100. What is the percentage increase in 2018 price over those in 2017? Interpret. e) By how much has this households utility in these four utilities changed between 2017 and 2019? Assume price are held constant at base year 2017.arrow_forwards EconomicsQ&A LibraryEach term (3 months) the current group of economics students completed a questionnaire as to how much they would spend on new purchases compared to how much they would save/pay off bills, if they suddenly and unexpectedly received a check for $1,000. The average MPC is shown in the table below. Month in which student poll was taken Average of students’ responses as MPC March 0.41 June 0.30 September 0.22 December 0.56 What do these MPC’s imply about the students’ thinking over the course of the year? (Enter response here.) What is likely happening in the economy during the same period of time? Each term (3 months) the current group of economics students completed a questionnaire as to how much they would spend on new purchases compared to how much they would save/pay off bills, if they suddenly and unexpectedly received a check for $1,000. The average MPC is shown in the table below. Month in which student poll was taken Average of students’…arrow_forward
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