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geometry a 32 questions 3 attempts per question due date nov 29 2017 at 12 midnight online homework through mymath
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7 pages
20190602111951refined
▪ You are moving and need a rental truck. The rental company you have chosen charges a $70/day fee plus $0.20 for every ...
20190602111951refined
▪ You are moving and need a rental truck. The rental company you have chosen charges a $70/day fee plus $0.20 for every mile you travel. Write a ...
MG 315 PU Unit 8 Statistics Regression Analysis Project Report
select any city in the US and select 40-45 houses that are for sale in that city. Any website can be used for example zill ...
MG 315 PU Unit 8 Statistics Regression Analysis Project Report
select any city in the US and select 40-45 houses that are for sale in that city. Any website can be used for example zillow.com, realtor.com, ect. I need to create an excel spreadsheet with a price range for example $100K to $500K with my dependent variable= Price of the home and Independent variable= SQFT, number of bedrooms, number of bathrooms, and age.
Purpose Statement and Model
1) In the introductory paragraph, state why the dependent variable has been chosen for analysis. Then make a general statement about the model:
“The dependent variable _Price of the home__ is determined by variables _SQFT__, _number of bathrooms__, _number of bedrooms__, and _age__.”
2) In the second paragraph, identify the primary independent variable and defend why it is important.
“The most important variable in this analysis is ________ because _________.” In this paragraph, cite and discuss the two research sources that support the thesis, i.e., the model.
3) Write the general form of the regression model (less intercept and coefficients), with the variables named appropriately so reader can identify each variable at a glance:
Dep_Var = Ind_Var_1 + Ind_Var_2 + Ind_Var_3
For instance, a typical model would be written:
Price_of_Home = Square_Footage + Number_Bedrooms + Lot_Size
Where
Price_of_Home: brief definition of dependent variable
Square_Footage: brief definition of first independent variable
Number_Bedrooms: brief definition of second independent variable
Age: brief definition of third independent variable
Definition of Variables
4) Define and defend all variables, including the dependent variable, in a single paragraph for each variable. Also, state the expectations for each independent variable. These paragraphs should be in numerical order, i.e., dependent variable, X1, then X2, etc.
In each paragraph, the following should be addressed:
How is the variable defined in the data source?
Which unit of measurement is used?
For the independent variables: why does the variable determine Y?
What sign is expected for the independent variable's coefficient, positive or negative? Why?
Data Description
5) In one paragraph, describe the data and identify the data sources.
From which general sources and from which specific tables are the data taken? (Citing a website is not acceptable.)
Which year or years were the data collected?
Are there any data limitations?
Presentation and Interpretation of Results
6) Write the regression (prediction) equation:
Dep_Var = Intercept + c1 * Ind_Var_1 + c2 * Ind_Var_2 + c3* Ind_Var_3
7) Identify and interpret the adjusted R2 (one paragraph):
Define “adjusted R2.”
What does the value of the adjusted R2 reveal about the model?
If the adjusted R2 is low, how has the choice of independent variables created this result?
8) Identify and interpret the F test (one paragraph):
Using the p-value approach, is the null hypothesis for the F test rejected or not rejected? Why or why not?
Interpret the implications of these findings for the model.
9) Identify and interpret the t tests for each of the coefficients (one separate paragraph for each variable, in numerical order):
Are the signs of the coefficients as expected? If not, why not?
For each of the coefficients, interpret the numerical value.
Using the p-value approach, is the null hypothesis for the t test rejected or not rejected for each coefficient? Why or why not?
Interpret the implications of these findings for the variable.
Identify the variable with the greatest significance.
10) Analyze multicollinearity of the independent variables (one paragraph):
Generate the correlation matrix.
Define multicollinearity.
Are any of the independent variables highly correlated with each other? If so, identify the variables and explain why they are correlated.
State the implications of multicollinearity (if found) for the model.
Middle East College Week 2 Statistic and Data Analysis Questions
I have uploaded file named “Questions” that contains three (3) Tasks related to Statistics. Solve them all.Also, attac ...
Middle East College Week 2 Statistic and Data Analysis Questions
I have uploaded file named “Questions” that contains three (3) Tasks related to Statistics. Solve them all.Also, attachment has been uploaded named “Descriptive Statistics” to give you more idea regarding to this assignment.*** Two attachments has been uploaded named “Questions” and “Descriptive Statistics”.
Using these data, construct limits for x- and R- charts.
Small boxes of NutraFlakes cereal are labeled “net weight 10 ounces.” Each hour, random samples of size n = 4 boxes ar ...
Using these data, construct limits for x- and R- charts.
Small boxes of NutraFlakes cereal are labeled “net weight 10 ounces.” Each hour, random samples of size n = 4 boxes are weighed to check process control. Five hours of observations yielded the following: Weight Time Box 1 Box 2 Box 3 Box 4 9 A.M. 9.8 10.4 9.9 10.3 10 A.M. 10.1 10.2 9.9 9.8 11 A.M. 9.9 10.5 10.3 10.1 Noon 9.7 9.8 10.3 10.2 1 P.M. 9.7 10.1 9.9 9.9 Using these data, construct limits for x- and R- charts. Is the process in control? What other steps should the QC department follow at this point?
The Importance of Relationships
Discussion: The Importance of RelationshipsAs its name implies, confidence intervals provide a range of values, along with ...
The Importance of Relationships
Discussion: The Importance of RelationshipsAs its name implies, confidence intervals provide a range of values, along with a level of confidence, to serve as an estimate of some unknown population value. Since it is rare to have access to the entire population, you must frequently rely on the confidence interval of the sample to make some inference about the population of interest. Before making accurate inferences to the population, we need to fully understand how the three key components of the interval—variability in the data, sample size, and confidence level—impact the width of the interval.For this Discussion, you will explore the relationship between these components and understand the trade-off between reducing risk in our confidence of estimates and increasing precision.To prepare for this Discussion:Review Chapters 6 and 7 of the Frankfort-Nachmias & Leon-Guerrero text and in Chapter 8, p. 256, consider the 2012 Benghazi Terrorist Attack Investigation and focus on how different levels of confidence and sample size work together.Review Magnusson’s web blog found in the Learning Resources to further your visualization and understanding of confidence intervals.Use the Course Guide and Assignment Help found in this week’s Learning Resources to search for a quantitative article related to confidence intervals.Using the SPSS software, General Social Survey dataset and choose a quantitative variable that interests you.By Day 3Using SPSS:Take a random sample of 100.Calculate the 95% confidence interval for the variable.Calculate a 90% confidence interval.Take another random sample of 400.Calculate the 95% confidence interval for the variable.Calculate a 90% confidence interval.Post your results and an explanation of how different levels of confidence and sample size affect the width of the confidence interval. Next, consider the statement, “Confidence intervals are underutilized” and explain what the implications might be of using or not using confidence intervals. Provide examples based on the results of your data. Also, use your research to support your findings.Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.
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Statistical Analysis Report
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The Paralyzed Veterans of America is a philanthropic organization in the US that is sanctioned by the United States government to represent the ...
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Most Popular Content
7 pages
20190602111951refined
▪ You are moving and need a rental truck. The rental company you have chosen charges a $70/day fee plus $0.20 for every ...
20190602111951refined
▪ You are moving and need a rental truck. The rental company you have chosen charges a $70/day fee plus $0.20 for every mile you travel. Write a ...
MG 315 PU Unit 8 Statistics Regression Analysis Project Report
select any city in the US and select 40-45 houses that are for sale in that city. Any website can be used for example zill ...
MG 315 PU Unit 8 Statistics Regression Analysis Project Report
select any city in the US and select 40-45 houses that are for sale in that city. Any website can be used for example zillow.com, realtor.com, ect. I need to create an excel spreadsheet with a price range for example $100K to $500K with my dependent variable= Price of the home and Independent variable= SQFT, number of bedrooms, number of bathrooms, and age.
Purpose Statement and Model
1) In the introductory paragraph, state why the dependent variable has been chosen for analysis. Then make a general statement about the model:
“The dependent variable _Price of the home__ is determined by variables _SQFT__, _number of bathrooms__, _number of bedrooms__, and _age__.”
2) In the second paragraph, identify the primary independent variable and defend why it is important.
“The most important variable in this analysis is ________ because _________.” In this paragraph, cite and discuss the two research sources that support the thesis, i.e., the model.
3) Write the general form of the regression model (less intercept and coefficients), with the variables named appropriately so reader can identify each variable at a glance:
Dep_Var = Ind_Var_1 + Ind_Var_2 + Ind_Var_3
For instance, a typical model would be written:
Price_of_Home = Square_Footage + Number_Bedrooms + Lot_Size
Where
Price_of_Home: brief definition of dependent variable
Square_Footage: brief definition of first independent variable
Number_Bedrooms: brief definition of second independent variable
Age: brief definition of third independent variable
Definition of Variables
4) Define and defend all variables, including the dependent variable, in a single paragraph for each variable. Also, state the expectations for each independent variable. These paragraphs should be in numerical order, i.e., dependent variable, X1, then X2, etc.
In each paragraph, the following should be addressed:
How is the variable defined in the data source?
Which unit of measurement is used?
For the independent variables: why does the variable determine Y?
What sign is expected for the independent variable's coefficient, positive or negative? Why?
Data Description
5) In one paragraph, describe the data and identify the data sources.
From which general sources and from which specific tables are the data taken? (Citing a website is not acceptable.)
Which year or years were the data collected?
Are there any data limitations?
Presentation and Interpretation of Results
6) Write the regression (prediction) equation:
Dep_Var = Intercept + c1 * Ind_Var_1 + c2 * Ind_Var_2 + c3* Ind_Var_3
7) Identify and interpret the adjusted R2 (one paragraph):
Define “adjusted R2.”
What does the value of the adjusted R2 reveal about the model?
If the adjusted R2 is low, how has the choice of independent variables created this result?
8) Identify and interpret the F test (one paragraph):
Using the p-value approach, is the null hypothesis for the F test rejected or not rejected? Why or why not?
Interpret the implications of these findings for the model.
9) Identify and interpret the t tests for each of the coefficients (one separate paragraph for each variable, in numerical order):
Are the signs of the coefficients as expected? If not, why not?
For each of the coefficients, interpret the numerical value.
Using the p-value approach, is the null hypothesis for the t test rejected or not rejected for each coefficient? Why or why not?
Interpret the implications of these findings for the variable.
Identify the variable with the greatest significance.
10) Analyze multicollinearity of the independent variables (one paragraph):
Generate the correlation matrix.
Define multicollinearity.
Are any of the independent variables highly correlated with each other? If so, identify the variables and explain why they are correlated.
State the implications of multicollinearity (if found) for the model.
Middle East College Week 2 Statistic and Data Analysis Questions
I have uploaded file named “Questions” that contains three (3) Tasks related to Statistics. Solve them all.Also, attac ...
Middle East College Week 2 Statistic and Data Analysis Questions
I have uploaded file named “Questions” that contains three (3) Tasks related to Statistics. Solve them all.Also, attachment has been uploaded named “Descriptive Statistics” to give you more idea regarding to this assignment.*** Two attachments has been uploaded named “Questions” and “Descriptive Statistics”.
Using these data, construct limits for x- and R- charts.
Small boxes of NutraFlakes cereal are labeled “net weight 10 ounces.” Each hour, random samples of size n = 4 boxes ar ...
Using these data, construct limits for x- and R- charts.
Small boxes of NutraFlakes cereal are labeled “net weight 10 ounces.” Each hour, random samples of size n = 4 boxes are weighed to check process control. Five hours of observations yielded the following: Weight Time Box 1 Box 2 Box 3 Box 4 9 A.M. 9.8 10.4 9.9 10.3 10 A.M. 10.1 10.2 9.9 9.8 11 A.M. 9.9 10.5 10.3 10.1 Noon 9.7 9.8 10.3 10.2 1 P.M. 9.7 10.1 9.9 9.9 Using these data, construct limits for x- and R- charts. Is the process in control? What other steps should the QC department follow at this point?
The Importance of Relationships
Discussion: The Importance of RelationshipsAs its name implies, confidence intervals provide a range of values, along with ...
The Importance of Relationships
Discussion: The Importance of RelationshipsAs its name implies, confidence intervals provide a range of values, along with a level of confidence, to serve as an estimate of some unknown population value. Since it is rare to have access to the entire population, you must frequently rely on the confidence interval of the sample to make some inference about the population of interest. Before making accurate inferences to the population, we need to fully understand how the three key components of the interval—variability in the data, sample size, and confidence level—impact the width of the interval.For this Discussion, you will explore the relationship between these components and understand the trade-off between reducing risk in our confidence of estimates and increasing precision.To prepare for this Discussion:Review Chapters 6 and 7 of the Frankfort-Nachmias & Leon-Guerrero text and in Chapter 8, p. 256, consider the 2012 Benghazi Terrorist Attack Investigation and focus on how different levels of confidence and sample size work together.Review Magnusson’s web blog found in the Learning Resources to further your visualization and understanding of confidence intervals.Use the Course Guide and Assignment Help found in this week’s Learning Resources to search for a quantitative article related to confidence intervals.Using the SPSS software, General Social Survey dataset and choose a quantitative variable that interests you.By Day 3Using SPSS:Take a random sample of 100.Calculate the 95% confidence interval for the variable.Calculate a 90% confidence interval.Take another random sample of 400.Calculate the 95% confidence interval for the variable.Calculate a 90% confidence interval.Post your results and an explanation of how different levels of confidence and sample size affect the width of the confidence interval. Next, consider the statement, “Confidence intervals are underutilized” and explain what the implications might be of using or not using confidence intervals. Provide examples based on the results of your data. Also, use your research to support your findings.Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.
15 pages
Statistical Analysis Report
The Paralyzed Veterans of America is a philanthropic organization in the US that is sanctioned by the United States govern ...
Statistical Analysis Report
The Paralyzed Veterans of America is a philanthropic organization in the US that is sanctioned by the United States government to represent the ...
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