## MHA-FP5017 Assessment 3 Predicting an Outcome Using Regression Models

Assignment 3- Predicting an Outcome Using Regression Models Overview 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 […]

## MHA-FP5017 Assessment 3 Predicting an Outcome Using Regression Models

cost age 13316 14043 17354 15338 14510 14703 17422 16958 12873 12185 10096 13787 29478 15900 16030 16037 11163 15974 15055 18636 9063 18247 14216 14881 17133 13668 15142 10834 10321 13906 18759 12974 17186 17262 17030 15655 16662 10036 16471 16269 17714 15179 29408 16060 15980 12265 risk 83 72 64 81 77 81 […]

## one question on Linear programming

A furniture Company produces tables and chairs. Each table takes four hours of labor from the carpentry department and two hours of labor from the finishing department. Each chair requires three hours of carpentry and one hour of finishing. During the current week, 260 hours of carpentry time are available and 120 hours of finishing […]

## MHA-FP5017 Assessment 3 Predicting an Outcome Using Regression Models

Assignment 3- Predicting an Outcome Using Regression Models Overview 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 […]

## MAT 543 Strayer University Pareto Analysis & Business Process Flow Charting Questions

Problem One Gary Seitz is director of procurement for the Forest Medical Center in Oak Park, Illinois. His medical center recently purchased more than 300 new side tables for the patient rooms from Quick-and-Cheap Furniture. His team, however, is not happy with the paint quality of these tables. They feel the firm providing the tables […]

## Managers constantly have to make decisions under uncertainty.

This assignment has two cases. The first case is on expansion strategy. Managers constantly have to make decisions under uncertainty. This assignment gives students an opportunity to use the mean and standard deviation of probability distributions to make a decision on expansion strategy. The second case is on determining at which point a manager should […]

## Harvard Business School Excel Database Statistics Questions

Work with the provided Excel database. This database has the following columns: LotCode: A unique code that identifies the parking lot slot capacity: A number with the respective parking lot capacity LotOccupancy: A number with the current number of cars in the parking lot TimeStamp: A day/time combination indicating the moment when occupancy was measured […]

## Linear Regression Study the Relationship Between Two Variables Questions

YX 0.07 0.09 0.08 0.16 0.17 0.21 0.49 0.58 0.53 1.22 1.15 1.07 2.84 2.57 3.1 9 9 9 7 7 7 5 5 5 3 3 3 1 1 1 1. A researcher study the relationship between two variables X and Y. The data is shown below Y X 5.5 1 5.1 1 6.9 […]

## Minitab Assignment

Minitab 18:https://support.minitab.com/en-us/minitab/18/help-and-how-to/graphs/how-to/general-graphoptions/groups-and-multiple-graphs/paneling-and-multiple-graphs/#create-a-separate-panel-or-aseparate-graph-for-each-group-by-variables-tab Minitab Express: https://support.minitab.com/en-us/minitab-express/1/help-and-how-to/graphs/histogram/createthe-graph/single-y-variable-with-groups/ STAT100 Fall 2019 Minitab Assignment 2: Exploratory Data Analysis 2 You need to submit a Word document or PDF for this assignment. Make sure you do the following: 1. Include your name in the document in the upper left-hand corner. Under your name, write STAT 100 and your section number. […]

## Complete Statistics Homework (PETT)

1. Nominal-numbers serve as descriptors (e.g., SSN, numbers assigned to marathon runners, firstnames, colors of jerseys) How to describe statistically: Percentages, frequencies Mode (not average-mean) Transformations: (what changes can be made to the data without losing its qualities?) one-to-one transformations (renaming) 2. Ordinal-numbers denote relative ranking (e.g., sales rankings, occupation level in a hierarchy, scale-strongly […]