I need HELP with my Statistics Project ( See attached files )

Using web searches, find a sample (simple random sample or stratified random sample) of single family homes for sale from a city of your choice. Decide on appropriate variables that can be used to predict the asking price of a single family home. Find a website for gathering information on homes for sale….making sure that you can eliminate other choices. Please use both quantitative and qualitative variables. The rule of thumb to use for sample size is to collect 10 cases for each independent variable used from the beginning of analysis … so 6 variables will require 60 different single family homes. Do not use more than 6 variables to begin your analysis. Each group will sign up for a different city.

PROPOSAL :

The proposal is not graded. It is used to provide feedback and suggestions. More than one proposal may need to be submitted if the first proposal is not approved. There is no penalty for number of proposals attempted.

· If no proposal is approved, the group grade will lose 5 points on the final project grade.

· Submit your proposal in Moodle (only one member of the group)

The memo for the proposal should include the following:

1) the city you are sampling

2) the website from which you will collect data

3) list and define the variables you propose using

4) expected results (which variable(s) will most likely be the best predictor?)

5) your plan for collecting data…must include your sampling rule(s) and how you plan to accomplish the data collection.

6) project timeline to include the completion date for each of the following:

· proposal

· data collection

· first attempt of completed regression – paper copy to class

· regression completed

· paper rough draft

· paper completed with appendix and regression in final form for submission

NOTE: Upon instructor approval for the project, the group should limit the discussion of the project to its group members. If something unusual occurs with your data, feel free to ask the instructor.

DO NOT COLLECT ANY DATA UNTIL YOUR PROJECT PROPOSAL IS APPROVED

The project consists of two parts: the paper and the appendix. The paper should word processed, double-spaced, and written in “plain English.” It should be written in well-developed paragraphs and complete sentences. The appendix will contain the technical details.

Paper Format:

1. Introduction

· objective, including the name of the city

2. Data

· data source

· variable discussion

· expected results

3. Results

· descriptive statistics (should include a measure of center and measure of spread)

· how your chosen variables influence the price of houses in your chosen location

· how well your model works in predicting the rental price of apartments in your chosen city

· include an example collected beyond your data set (use the next randomly selected house beyond your data used in the analysis) comparing the predicted price against the actual price

4. Recommendations

· make recommendations to a prospective home owner about choosing a house based on your findings

· give suggestions about web sites to use that would help in successfully choosing a house to buy

5. Limitations

· limitations specific to your model and analysis

6. Conclusions

Appendix format:

1) Original proposal with acceptance

2) Documentation for data collection

a) rule for the simple random sample

b) list of random numbers selected in the order chosen from the random digits table or listed in Minitab in original order

c) list of data as collected from website in order of random numbers selected from Minitab

d) one photo with information from the website showing the first house selected; can snip using snipping tool in Windows 7

e) one photo with information from the website showing the house to be used as the example input into your regression model

3) List data set from Minitab worksheet (copy and paste)

4) Entire process of regression analysis with explanations for each step.

5) Hypothesis tests, residual plots, etc

6) Overall evaluation of final model

Optional Presentation

· Due on Monday, April 7

· Will be produced using presentation software that allows adding audio

· Creativity in the production is expected

· Content for this production depends upon what audience you select. Certainly no technical details about how you obtained your results will be expected.

GRADING:

· Grades for each student will be determined by:

1)individual evaluation of effort by the group

2)self evaluation of effort

3)quality of the group effort as a whole

4)instructor's qualitative evaluation

· The project will comprise 15% of your course grade.

· For the most part groups should receive similar grades; differentiation will occur based on differing effort on the part of individual students.

· Projects submitted after the due date will lose 20% of possible points.

OTHER :

· Minitab should be used for the analysis.

· Any appropriate software package may be used to construct graphs.

· More than one statistical technique may be used in the analysis, if appropriate.

Submit your Minitab worksheet in Moodle when you turn in your written project. I cannot grade your project without the data set.