.1Phase 1: Data Preparation.1. Download the Mount Pleasant Real EstateData from stat.hawkeslearning.com and openit with Microsoft Excel.2. To ensure the data contains comparableproperties, eliminate duplexes and propertieswhose prices are outliers. What limitationsdoes this impose on our analysis?3. The statistical tools from the current chapterfocus on numeric data, so eliminate non-numeric variables from the data. Does thisremove potentially useful information?4. Are there any redundant variables wecould eliminate?Phase 2: Discovering Relationships5. How strongly does each remaining variablecorrelate to the price?6. Which variable correlates most stronglywith price?7. Are any variables weakly correlated with price?Practically speaking, why do you think thisis true?3.532.521.51202020152010200520001995Price vs. Stories0.50$0 $200,000 $400,000 $600,000 $800,000 $1,000,000 $1,200,0001990●●-*0% no m●●Homme●Price vs. Year Built881●●•*●**●$0 $200,000 $400,000 $600,000 $800,000 $1,000,000 $1,200,000 Phase 3: Constructing Predictive Models.8. Find the regression line ŷ = b + b₁x predictinghome price by the variable most highlycorrelated to it.What proportion of the variablity inhome prices is explained by thisvariable in a straigt line model?Find the five number summary forthis variable. Predict the price ofhomes at each value of this fivenumber summary using yourregression line.List Price$1,200,000$1,000,000$800,000$600,000$400,000$200,00000Square Footage Line Fit Plot◆ List Price■ PredictedList Price1000 2000 3000 4000 5000 60009. Find the 95% confidence interval for B₁, the slope of the population linear regression model. Also,conduct a hypothesis test for the significance of B₁, that is test, Ho: P₁ = 0 vs. Ha: P₁ = 0 and state theconclusion. Does this result and the confidence interval agree? If so, why?

1) The given data set contains following variable for 245 homes IDList PriceDuplex?BedroomsBaths -…

Answered: Phase 1: Data Preparation. 1. Download…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Briefly explain how the organization forecast sales for its products.a. Using historical sales data, choose a quantitative technique to forecast sales for thatorganisation for the next sales period. Comment on the appropriateness of thetechnique used.b. Describe three strategies that the organization uses to compete and comment on theappropriateness of these strategies
6. Present the following data by a suitable diagram showing. The sales and net profits of a private company. Year Sales Net Profits 1998-1999 14% 49% 1999-2000 10% -25% 2000-2001 13% -1% es ehsinar wer lo
Give an example of how a nonrepresentative sample can severely affect a regression analysis.
Suppose researchers at an abdominal transplant clinic are concerned about the rate of graft loss due to diabetes status prior to receiving a donor kidney. Research has shown that gender discordance, or receiving a gender from a donor of an opposite gender may increase the risk of both exposure and outcome after transplant. Assume the following tables represent the stratified analysis of the potential confounding variable. (9 points) Gender Discordance Graft Failure No Graft Failure Total Diabetes II 23 10 33 No Diabetes II 4 44 48 Total 27 54 81 Gender Concordance Graft Failure No Graft Failure Total Diabetes II 9 34 43 No Diabetes II 12 87 99 Total 21 121 142 A) Calculate the stratum specific estimates for the odds ratios in each strata. B) Observe the difference in the odds ratios. Based on observation alone, what are we likely to conclude regarding the relationship between outcome and exposure…
The marketing manager of "ABC Tapes" wants to assess the competitiveness of the company's product in the market. Table 1 represents the prices and quantities of blank cassette tapes sold in January 2016 and January 2020. TABLE 1 2016 2020 Length of tapes Price Quantity Price Quantity 30 minutes R 4.00 32 R 5.60 40 60 minutes R 4 30 150 R 6.15 190 90 minutes R 4.60 100 R 7.40 130 Using 2016 as base and calculate for 2020 the following: Determine the Laspeyres price index: a) 149.492 Ob) 149.367 Oc) 66.949 d) 66.893
The stacked column graph below shows additional information from the Bureau of Labor Statistics¹ about employment and education for two groups of workers in the United States compared with the graph discussed in the in-class activity. This graph includes data about workers aged 65 and older. Percentage Employment distribution of workers by education 1997 and 2007 2007 Age 65 and older Pocholode higher's degree. college or associate graduates college mless than a high school. diploma Part A: Use the graph to estimate the following information for the Age 65 and older group and complete the following table. 2007 Age 65 and older 1997 % % % % % % Bachelor's degree or higher Some college or associate degree High school graduates, no college % % Less than a high school diploma % AP % Total
Exercise 2. Use the final project data to complete the following questions. Collaborate with your project partners and produce the Excel outputs for the first analysis listed on the project guidelines below. Read and follow the instructions carefully. The Excel outputs such as tables, graphs, summary statistics produced by using Excel. All statistics should not have more than 2 decimal places. All Excel outputs (such as graphs and summary statistics) for each related analysis must be fitted in one sheet. 2. To analyze the total number of items purchased, construct an ungrouped frequency distribution, graph, and find the summary statistics by each type of customer (regular/promotion). Label the graphs completely. Describe the shape of the distribution for each type of customer and discuss similarities or differences by interpreting the graphs and summary statistics. What can you conclude? 3. To analyze customer age, construct a frequency distribution, graph, and find…
Hello I want get question 2 answer
1. Suppose that you estimate a model of house prices to determine the impact of having beach frontage on the value of a house.14 You do some research, and you decide to use the size of the lot instead of the size of the house for a number of theoretical and data availability rea- sons. Your results (standard errors in parentheses) are: PRICE; = 40 + 35.0 LOT¡ – 2.0 AGE; + 10.0 BED; – 4.0 FIRE; (1.0) (5.0) (10.0) (4.0) (10) N = 30 R2 =.63 where: PRICE¡ =the price of the th house (in thousands of dollars) =the size of the lot of the th house (in thousands of square feet) = the age of the th house in years =the number of bedrooms in the th house =a qualitative/dummy variable for a fireplace (1 = yes for the th house) LOT; AGE; BED; FIRE; a. You expect the variables LOT and BED to have positive coefficients. Create and test the appropriate hypotheses to evaluate these expectations at the 5-percent level. b. You expect AGE to have a negative coefficient. Create and test the appropriate…
a. Make the case with graphs and numbers that women are a growing presence in the U.S. military. b. Make the case with graphs and numbers that women are a declining presence in the U.S. military. c. Write a paragraph that gives a balanced picture of the changing presence of women in the military using appropriate statistics to make your points. What additional data would be helpful?
Below are the commodity data. Determine (a) Laspeyer's price index and Laspeyer's quantity index. (b) Paasche's price index and Paasche's quantity index. (c) Fisher's ideal index (both Price and Quantity) January 2020 Price (S) Q2. January 2020 Quantity January 2021 Price (S) 4.45 January 2021 Quantity Commodity Toothpaste Shampoo Cough tablets Antiperspirant 5.49 2 3 4.29 3 6.29 3.79 4 5.67 4 4.29 4.89
Choose a correct statement. Leverage means a gap between a data point that is unusual in OLS models. O Discrepancy means how far away an observation is from other observations. c. Cook's distance measures discrepancy. Influential outliers can be calculated by discrepancy X leverage. O Cook's distance measures discrepancy.

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS