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Luis has a cooler filled with soda. For every 5 cans of coke, there are 3 cans of sprite. If there are 25 cans of coke, how many cans of sprite are there? Please show your work.
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MHA FPX5017 Capella University Predicting an Outcome Using Regression Models Paper & Excel
Perform multiple regression on the relationship between hospital costs and patient age, risk factors, and patient satisfac ...
MHA FPX5017 Capella University Predicting an Outcome Using Regression Models Paper & Excel
Perform multiple regression on the relationship between hospital costs and patient age, risk factors, and patient satisfaction scores, and then generate a prediction to support this health care decision. Write a 3-4 page analysis of the results in a Word document and insert the test results into this document.
Introduction
Note: You are strongly encouraged to complete the assessments in this course in the order they are presented.Regression is an important statistical technique for determining the relationship between an outcome (dependent variable) and predictors (independent variables). Multiple regression evaluates the relative predictive contribution of each independent variable on a dependent variable. The regression model can then be used for predicting an outcome at various levels of the independent variables. For this assessment, you will perform multiple regression and generate a prediction to support a health care decision.Overview & Preparation
Download the Assessment 3 Dataset [XLSX]. The dataset contains the following variables:
cost? (hospital cost in dollars)?.
age (patient age in years)?.
risk (count of patient risk factors).
satisfaction (patient satisfaction score percentile rank)?.
Instructions
Hospital administration needs to make a decision on the amount of reimbursement required to cover expected costs for next year. For this assessment, using information on hospital discharges from last year, perform multiple regression on the relationship between hospital costs and patient age, risk factors, and patient satisfaction scores, and then generate a prediction to support this health care decision. Write a 3–4 page analysis of the results in a Word document and insert the test results into this document (copied from the output file and pasted into a Word document). Refer to Copy From Excel to Another Office Program for instructions.Submit both the Word document and the Excel file that shows the results.Grading Criteria
The numbered assessment instructions outlined below correspond to the grading criteria in the Predicting an Outcome Using Regression Models Scoring Guide, so be sure to address each point. You may also want to review the performance-level descriptions for each criterion to see how your work will be assessed.
Perform the appropriate multiple regression using a dataset.
Interpret the statistical significance and effect size of the regression coefficients of a data analysis.
Interpret p-value and beta values.
Interpret the fit of the regression model for prediction of a data analysis.
Interpret R-squared and goodness of fit.
Apply the statistical results of the multiple regression of a data analysis to support a health care decision.
Generate a prediction with regression equation.
Write a narrative summary of the results that includes practical, administration-related implications of the multiple regression.
MATH302 University of Phoenix Week 2 Descriptive Statistics Discussion
Recall the car data set you identified in Week 2. We know that this data set is normally distributed using the mean and S ...
MATH302 University of Phoenix Week 2 Descriptive Statistics Discussion
Recall the car data set you identified in Week 2. We know that this data set is normally distributed using the mean and SD you calculated. (Be sure you use the numbers without the supercar outlier)For the next 4 cars that are sampled, what is the probability that the price will be less than $500 dollars below the mean? Make sure you interpret your results.Please note: we are given a new sample size, we will need to calculate a new SD. Then, to find the value that is $500 below the mean you will need to take the mean and subtract $500 from it. For example, if the mean is $15,000 then $500 below this would be $14,500. Thus the probability you would want to find is P(x < 14,500).For the next 4 cars that are sampled, what is the probability that the price will be higher than $1000 dollars above the mean? Make sure you interpret your results. Use the same logic as above. If your mean is $15,000 then $1,000 above is 15,000 + 1,000 = $16,000. Thus the probability you would want to find is P(x > 16,000).For the next 4 cars that are sampled, what is the probability that the price will be equal to the mean? Make sure you interpret your results. Use the same logic as above.For the next 4 cars that are sampled, what is the probability that the price will be $1500 within the mean? Make sure you interpret your results. Use the same logic as above.I encourage you to review the Week 4 normal probabilities PDF at the bottom of the forum. This will give you a step by step example to follow and show you how to find probabilities using Excel. I also encourage you to review the Week 4 Empirical Rule PDF. This will give you a better understanding on how to utilize the empirical rule.Instructions: Your initial post should be at least 150 words. You must also respond to at least 2 other students. Responses should be a minimum of 50 words and may include direct questions. In your peer posts, compare the probabilities that you found with those of your classmates. Were they higher/lower and why? In your responses, refer to the specific data from your classmates' posts.
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Most Popular Content
MHA FPX5017 Capella University Predicting an Outcome Using Regression Models Paper & Excel
Perform multiple regression on the relationship between hospital costs and patient age, risk factors, and patient satisfac ...
MHA FPX5017 Capella University Predicting an Outcome Using Regression Models Paper & Excel
Perform multiple regression on the relationship between hospital costs and patient age, risk factors, and patient satisfaction scores, and then generate a prediction to support this health care decision. Write a 3-4 page analysis of the results in a Word document and insert the test results into this document.
Introduction
Note: You are strongly encouraged to complete the assessments in this course in the order they are presented.Regression is an important statistical technique for determining the relationship between an outcome (dependent variable) and predictors (independent variables). Multiple regression evaluates the relative predictive contribution of each independent variable on a dependent variable. The regression model can then be used for predicting an outcome at various levels of the independent variables. For this assessment, you will perform multiple regression and generate a prediction to support a health care decision.Overview & Preparation
Download the Assessment 3 Dataset [XLSX]. The dataset contains the following variables:
cost? (hospital cost in dollars)?.
age (patient age in years)?.
risk (count of patient risk factors).
satisfaction (patient satisfaction score percentile rank)?.
Instructions
Hospital administration needs to make a decision on the amount of reimbursement required to cover expected costs for next year. For this assessment, using information on hospital discharges from last year, perform multiple regression on the relationship between hospital costs and patient age, risk factors, and patient satisfaction scores, and then generate a prediction to support this health care decision. Write a 3–4 page analysis of the results in a Word document and insert the test results into this document (copied from the output file and pasted into a Word document). Refer to Copy From Excel to Another Office Program for instructions.Submit both the Word document and the Excel file that shows the results.Grading Criteria
The numbered assessment instructions outlined below correspond to the grading criteria in the Predicting an Outcome Using Regression Models Scoring Guide, so be sure to address each point. You may also want to review the performance-level descriptions for each criterion to see how your work will be assessed.
Perform the appropriate multiple regression using a dataset.
Interpret the statistical significance and effect size of the regression coefficients of a data analysis.
Interpret p-value and beta values.
Interpret the fit of the regression model for prediction of a data analysis.
Interpret R-squared and goodness of fit.
Apply the statistical results of the multiple regression of a data analysis to support a health care decision.
Generate a prediction with regression equation.
Write a narrative summary of the results that includes practical, administration-related implications of the multiple regression.
MATH302 University of Phoenix Week 2 Descriptive Statistics Discussion
Recall the car data set you identified in Week 2. We know that this data set is normally distributed using the mean and S ...
MATH302 University of Phoenix Week 2 Descriptive Statistics Discussion
Recall the car data set you identified in Week 2. We know that this data set is normally distributed using the mean and SD you calculated. (Be sure you use the numbers without the supercar outlier)For the next 4 cars that are sampled, what is the probability that the price will be less than $500 dollars below the mean? Make sure you interpret your results.Please note: we are given a new sample size, we will need to calculate a new SD. Then, to find the value that is $500 below the mean you will need to take the mean and subtract $500 from it. For example, if the mean is $15,000 then $500 below this would be $14,500. Thus the probability you would want to find is P(x < 14,500).For the next 4 cars that are sampled, what is the probability that the price will be higher than $1000 dollars above the mean? Make sure you interpret your results. Use the same logic as above. If your mean is $15,000 then $1,000 above is 15,000 + 1,000 = $16,000. Thus the probability you would want to find is P(x > 16,000).For the next 4 cars that are sampled, what is the probability that the price will be equal to the mean? Make sure you interpret your results. Use the same logic as above.For the next 4 cars that are sampled, what is the probability that the price will be $1500 within the mean? Make sure you interpret your results. Use the same logic as above.I encourage you to review the Week 4 normal probabilities PDF at the bottom of the forum. This will give you a step by step example to follow and show you how to find probabilities using Excel. I also encourage you to review the Week 4 Empirical Rule PDF. This will give you a better understanding on how to utilize the empirical rule.Instructions: Your initial post should be at least 150 words. You must also respond to at least 2 other students. Responses should be a minimum of 50 words and may include direct questions. In your peer posts, compare the probabilities that you found with those of your classmates. Were they higher/lower and why? In your responses, refer to the specific data from your classmates' posts.
3 pages
Math 1324
1. For the matrix situation mentioned below, where the 2x4 matrix A is described as: Pay per hour for two pay levels of fo ...
Math 1324
1. For the matrix situation mentioned below, where the 2x4 matrix A is described as: Pay per hour for two pay levels of four trades back in 2009. ...
5 pages
HLT 362v Exercise 20 Answers
Which patient scored the highest on the preoperative CVLT Acquisition?
Which patient scored the lowest on postoperative ...
HLT 362v Exercise 20 Answers
Which patient scored the highest on the preoperative CVLT Acquisition?
Which patient scored the lowest on postoperative CVLT Retrieval? What was this patient’s T score?
3 pages
One Way Anova
Do academic performance among the undergraduate students depend on the level of discipline One –way ANOVA is utilized to ...
One Way Anova
Do academic performance among the undergraduate students depend on the level of discipline One –way ANOVA is utilized to determine if there is a ...
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