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Instructor's note: Please answer each question separately for clarity. Suppose you are interested in the behaviors of phys ...
Please see below
Instructor's note: Please answer each question separately for clarity. Suppose you are interested in the behaviors of physicians that have high ratings of patient satisfaction. The research goal is to identify the behaviors in the natural clinical settings of these successful physicians so that these behaviors can be built into the curricula of medical preparation programs. The main data were collected by the video recording of five randomly selected physician-patient encounters from 10 physicians who have been rated highly by patients in a reliable satisfaction survey. 1. In analyzing the recordings, what would you define as the unit for analysis? Why? 2. How many data units (in rough estimates) are you likely to get based on this decision? 3. Does the estimated number of data units seem adequate? Why or why not?
DAT 565 UCLA Wk 5 Regression Analysis Predicting Tax Assessment Value Worksheet
This assignment provides an opportunity to develop, evaluate, and apply bivariate and multivariate linear regression model ...
DAT 565 UCLA Wk 5 Regression Analysis Predicting Tax Assessment Value Worksheet
This assignment provides an opportunity to develop, evaluate, and apply bivariate and multivariate linear regression models.Resources: Microsoft Excel®, DAT565_v3_Wk5_Data_FileInstructions: The Excel file for this assignment contains a database with information about the tax assessment value assigned to medical office buildings in a city. The following is a list of the variables in the database:FloorArea: square feet of floor spaceOffices: number of offices in the buildingEntrances: number of customer entrancesAge: age of the building (years)AssessedValue: tax assessment value (thousands of dollars)Use the data to construct a model that predicts the tax assessment value assigned to medical office buildings with specific characteristics.Construct a scatter plot in Excel with FloorArea as the independent variable and AssessmentValue as the dependent variable. Insert the bivariate linear regression equation and r^2 in your graph. Do you observe a linear relationship between the 2 variables?Use Excel’s Analysis ToolPak to conduct a regression analysis of FloorArea and AssessmentValue. Is FloorArea a significant predictor of AssessmentValue?Construct a scatter plot in Excel with Age as the independent variable and AssessmentValue as the dependent variable. Insert the bivariate linear regression equation and r^2 in your graph. Do you observe a linear relationship between the 2 variables?Use Excel’s Analysis ToolPak to conduct a regression analysis of Age and Assessment Value. Is Age a significant predictor of AssessmentValue?Construct a multiple regression model.Use Excel’s Analysis ToolPak to conduct a regression analysis with AssessmentValue as the dependent variable and FloorArea, Offices, Entrances, and Age as independent variables. What is the overall fit r^2? What is the adjusted r^2?Which predictors are considered significant if we work with α=0.05? Which predictors can be eliminated?What is the final model if we only use FloorArea and Offices as predictors?Suppose our final model is:AssessedValue = 115.9 + 0.26 x FloorArea + 78.34 x OfficesWhat wouldbe the assessed value of a medical office building with a floor area of 3500 sq. ft., 2 offices, that was built 15 years ago? Is this assessed value consistent with what appears in the database?
SOCI 332 American Military University Week 4 Cross Tabulation Paper
provide a brief introduction to your study to remind your classmates what we are reading about here. Include: 1. Your ov ...
SOCI 332 American Military University Week 4 Cross Tabulation Paper
provide a brief introduction to your study to remind your classmates what we are reading about here. Include: 1. Your overall research question 2. The research hypothesis and null hypothesisNext, create a crosstab for your data and include it in the post. Be sure to explain your findings, including a description of the data, a calculation of the epsilons, and a discussion of the 10% rule. The epsilons in short are the differences between the highest and lowest column % in any given row. As long as one epsilon makes the 10% threshold, we'll deem two variables have "enough" going on to with each other to warrant further statistical analysis.Special note:When a variable is continuous (interval/ratio level of measurement), for example, age of respondent, we do not run crosstabs directly b/c it will result in a really spread-out table with lot of 0s and low frequency cells. Such a crosstab does not help us understand the data.The correct way is to reduce the level of measurement to either ordinal level or nominal level (group the numbers into categories) and then run the cross table. You do this by recoding (as you demonstrated in Assignment 1). In this way, your crosstabs will help us better understand data. Here is another example of recoding in a video.I have attached my SPSS information from my previous week's assignment as well as my last assignment for reference. If you go to the SPSS website you can download the software for a 30 day free of charge trial and do not have to include your card information.
3 pages
File 1
The parabola in the figure below has an equation of the form y = ax2 + bx - 4. Find the equation of the parabola using two ...
File 1
The parabola in the figure below has an equation of the form y = ax2 + bx - 4. Find the equation of the parabola using two different methods, by hand ...
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Most Popular Content
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Instructor's note: Please answer each question separately for clarity. Suppose you are interested in the behaviors of phys ...
Please see below
Instructor's note: Please answer each question separately for clarity. Suppose you are interested in the behaviors of physicians that have high ratings of patient satisfaction. The research goal is to identify the behaviors in the natural clinical settings of these successful physicians so that these behaviors can be built into the curricula of medical preparation programs. The main data were collected by the video recording of five randomly selected physician-patient encounters from 10 physicians who have been rated highly by patients in a reliable satisfaction survey. 1. In analyzing the recordings, what would you define as the unit for analysis? Why? 2. How many data units (in rough estimates) are you likely to get based on this decision? 3. Does the estimated number of data units seem adequate? Why or why not?
DAT 565 UCLA Wk 5 Regression Analysis Predicting Tax Assessment Value Worksheet
This assignment provides an opportunity to develop, evaluate, and apply bivariate and multivariate linear regression model ...
DAT 565 UCLA Wk 5 Regression Analysis Predicting Tax Assessment Value Worksheet
This assignment provides an opportunity to develop, evaluate, and apply bivariate and multivariate linear regression models.Resources: Microsoft Excel®, DAT565_v3_Wk5_Data_FileInstructions: The Excel file for this assignment contains a database with information about the tax assessment value assigned to medical office buildings in a city. The following is a list of the variables in the database:FloorArea: square feet of floor spaceOffices: number of offices in the buildingEntrances: number of customer entrancesAge: age of the building (years)AssessedValue: tax assessment value (thousands of dollars)Use the data to construct a model that predicts the tax assessment value assigned to medical office buildings with specific characteristics.Construct a scatter plot in Excel with FloorArea as the independent variable and AssessmentValue as the dependent variable. Insert the bivariate linear regression equation and r^2 in your graph. Do you observe a linear relationship between the 2 variables?Use Excel’s Analysis ToolPak to conduct a regression analysis of FloorArea and AssessmentValue. Is FloorArea a significant predictor of AssessmentValue?Construct a scatter plot in Excel with Age as the independent variable and AssessmentValue as the dependent variable. Insert the bivariate linear regression equation and r^2 in your graph. Do you observe a linear relationship between the 2 variables?Use Excel’s Analysis ToolPak to conduct a regression analysis of Age and Assessment Value. Is Age a significant predictor of AssessmentValue?Construct a multiple regression model.Use Excel’s Analysis ToolPak to conduct a regression analysis with AssessmentValue as the dependent variable and FloorArea, Offices, Entrances, and Age as independent variables. What is the overall fit r^2? What is the adjusted r^2?Which predictors are considered significant if we work with α=0.05? Which predictors can be eliminated?What is the final model if we only use FloorArea and Offices as predictors?Suppose our final model is:AssessedValue = 115.9 + 0.26 x FloorArea + 78.34 x OfficesWhat wouldbe the assessed value of a medical office building with a floor area of 3500 sq. ft., 2 offices, that was built 15 years ago? Is this assessed value consistent with what appears in the database?
SOCI 332 American Military University Week 4 Cross Tabulation Paper
provide a brief introduction to your study to remind your classmates what we are reading about here. Include: 1. Your ov ...
SOCI 332 American Military University Week 4 Cross Tabulation Paper
provide a brief introduction to your study to remind your classmates what we are reading about here. Include: 1. Your overall research question 2. The research hypothesis and null hypothesisNext, create a crosstab for your data and include it in the post. Be sure to explain your findings, including a description of the data, a calculation of the epsilons, and a discussion of the 10% rule. The epsilons in short are the differences between the highest and lowest column % in any given row. As long as one epsilon makes the 10% threshold, we'll deem two variables have "enough" going on to with each other to warrant further statistical analysis.Special note:When a variable is continuous (interval/ratio level of measurement), for example, age of respondent, we do not run crosstabs directly b/c it will result in a really spread-out table with lot of 0s and low frequency cells. Such a crosstab does not help us understand the data.The correct way is to reduce the level of measurement to either ordinal level or nominal level (group the numbers into categories) and then run the cross table. You do this by recoding (as you demonstrated in Assignment 1). In this way, your crosstabs will help us better understand data. Here is another example of recoding in a video.I have attached my SPSS information from my previous week's assignment as well as my last assignment for reference. If you go to the SPSS website you can download the software for a 30 day free of charge trial and do not have to include your card information.
3 pages
File 1
The parabola in the figure below has an equation of the form y = ax2 + bx - 4. Find the equation of the parabola using two ...
File 1
The parabola in the figure below has an equation of the form y = ax2 + bx - 4. Find the equation of the parabola using two different methods, by hand ...
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