factor completely with work
User Generated
nyyhfreanzrfjrergnxra
Mathematics
Description
64+125v^3
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
This question has not been answered.
Create a free account to get help with this and any other question!
24/7 Homework Help
Stuck on a homework question? Our verified tutors can answer all questions, from basic math to advanced rocket science!
Most Popular Content
6 question please answer and post answers only thanks
1. Find the y-intercept of the equation of the regression line for the following data:
Please round to the ...
6 question please answer and post answers only thanks
1. Find the y-intercept of the equation of the regression line for the following data:
Please round to the nearest thousandth. Consumer Price Index 30.2 48.3 112.3 162.2 191.9 197.8 Cost of Pizza 0.15 0.35 1.00 1.25 1.75 2.00 2. Find the slope of the equation of the regression line for the following data:Please give your answers rounded to the nearest hundredth.. Consumer Price Index 30.2 48.3 112.3 162.2 191.9 197.8 Cost of Pizza 0.15 0.35 1.00 1.25 1.75 2.00 3.For a certain set of data, the Pearson correlation coefficient was 0.87. It was calculated based on 50 data points. Answer the following questions, based off of this information. (a)Let alpha be 0.05. Is the correlation coefficient significant? [ Select ] ["Yes", "No"] (b)Using your answer from (a), is it reasonable to fit the regression line to the data? [ Select ] ["Yes", "No"] (c)If you were to the predict a value of the dependent variable, would you use the regression line or the mean of all the values of the dependent variable? [ Select ] ["Regression line, or "Mean of all the values of the dependent variable"] 4. 4. For a certain set of data, the Pearson correlation coefficient was -0.467. It was calculated based on 8 data points. Answer the following questions, based off of this information. (a) Let alpha be 0.05. Is the correlation coefficient significant? [ Select ] ["Yes", or "No", "", ""] (b) Using your answer from (a), is it reasonable to fit the regression line to the data? [ Select ] ["Yes", or "No"] (a)If you were to the predict a value of the dependent variable, would you use the regression line or the mean of all the values of the dependent variable? [ Select ] ["Regression Line", or "Mean of all of the values of the dependent variable"] 5. In a study conducted by University of Arizona researchers, the total weight (in pounds) of garbage discarded in one week and the household size were recorded for 62 households. The linear correlation coefficient is r = 0.759 and the regression equation is = 0.445 + 0.119x, where x represents the total weight of discarded garbage. The mean of the 62 garbage weights is 27.4 pounds and the 62 households have a mean size of 3.71 people. What is the best predicted number of people in a household that discards 50 pounds of garbage? Round to the nearest hundredth6. A sample of 40 women is obtained, and their heights (in inches) and pulse rates (in beats per minutes) are measured. The linear correlation coefficient is 0.202 and the equation of the regression line is = 18.2 + 0.920x, where x represents height (based on data from the National Health Examination Survey). The mean of the 40 heights is 63.2 in. and the mean of the 40 pulse rates is 76.3 beats per minute. Find the best predicted pulse rate of a woman who is 70 inches tall. Please round to the nearest tenth.
Marketing Data Analytics
Part 1: Concepts – Multiple Choice (8 questions) Part 2: Application – Short Answers (2 questions)Please answer the 1 ...
Marketing Data Analytics
Part 1: Concepts – Multiple Choice (8 questions) Part 2: Application – Short Answers (2 questions)Please answer the 10 questions in the attached document.
9 pages
Discussion Questions Sp
Suppose you wanted to estimate the average household income of all Grand Canyon University (GCU) students. To expedite the ...
Discussion Questions Sp
Suppose you wanted to estimate the average household income of all Grand Canyon University (GCU) students. To expedite the process, you only gather ...
4 pages
Developing Problem Solving Skills.edited
Suspicious survey. A survey shows that of 100 nurses, 75 play at least soccer, 95 play at least softball, and 50 play both ...
Developing Problem Solving Skills.edited
Suspicious survey. A survey shows that of 100 nurses, 75 play at least soccer, 95 play at least softball, and 50 play both soccer and softball. Is ...
MATH 302 American Public University Multiple Linear Regression Analysis HW
Assignment Guidance:In the Excel document, you will find the 2018 data for 17 cities in the data set Cost of Living. Inclu ...
MATH 302 American Public University Multiple Linear Regression Analysis HW
Assignment Guidance:In the Excel document, you will find the 2018 data for 17 cities in the data set Cost of Living. Included are the 2018 cost of living index, cost of a 3-bedroom apartment (per month), price of monthly transportation pass, price of a mid-range bottle of wine, price of a loaf of bread (1 lb.), the price of a gallon of milk and price for a 12 oz. cup of black coffee. All prices are in U.S. dollars.You use this information to run a Multiple Linear Regression to predict Cost of living, along with calculating various descriptive statistics. This is given in the Excel output (that is, the MLR has already been calculated. Your task is to interpret the data). Based on this information, in which city should you open a second office in? You must justify your answer. If you want to recommend 2 or 3 different cities and rank them based on the data and your findings, this is fine as well. Deliverable Requirements:This should be ¾ to 1 page, no more than 1 single-spaced page in length, using 12-point Times New Roman font. You do not need to do any calculations, but you do need to pick a city to open a second location at and justify your answer based upon the provided results of the Multiple Linear Regression. The format of this assignment will be an Executive Summary. Think of this assignment as the first page of a much longer report, known as an Executive Summary, that essentially summarizes your findings briefly and at a high level. This needs to be written up neatly and professionally. This would be something you would present at a board meeting in a corporate environment. If you are unsure of an Executive Summary, this resource can help with an overview. What is an Executive Summary?Things to Consider:To help you make this decision here are some things to consider:Based on the MLR output, what variable(s) is/are significant? From the significant predictors, review the mean, median, min, max, Q1 and Q3 values? It might be a good idea to compare these values to what the New York value is for that variable. Remember New York is the baseline as that is where headquarters are located.Based on the descriptive statistics, for the significant predictors, what city has the best potential? What city or cities fall are below the median? What city or cities are in the upper 3rd quartile?Grading Breakdown: 1) Executive Summary – up to 10%
a. Please review what an Executive Summary looks like:
▪ What is an Executive Summary?
b. Must have cover page.
2) Grammar – up to 10%
a. Spell and grammar check your work.
b. Make sure you have correct punctuation and complete sentences. 3) State significant predictors – up to 25% a. Must state which predictors are significant at predicting Cost of Living and how
do you know. b. Show the comparison to alpha to state your results and conclusion. c. Do these significant predictors make sense, if you want to relocate? 4) Discuss descriptive statistics for the significant predictors – up to 25% a. From the significant predictors, review the mean, median, min, max, Q1 and Q3
values.
b. What city or cities fall above or below the median and/or the mean? c. What city or cities are in the upper 3rd quartile? Or the bottom quartile? d. How do these predictors compare to the baseline of NYC? What cost more or
less money than NYC? 5) Recommend at least 2 cities to open a second location in – up to 30% a. You must justify your answer for full credit. b. You need to use the Significant Predictors AND Descriptive Statistics in your
justification. c. Justification without the use of Significant Predictors WILL NOT get full credit. d. Justification without the use of Descriptive Statistics WILL NOT get full credit.
You need to use both. e. For example, let’s look back at London. London at 88.33, is 11.67% less
expensive than NYC. But that doesn’t mean London is a good place to open a
second location once you discuss the significant predictors and how it relates
back to each city.
f. Use what you have learned in the course and analyze all the data not just what
you see on the surface.
g. You must use the numbers and the output to justify your answers. Do not use
any outside resources to justify your answer. Only use Significant Predictors
AND Descriptive Statistics.
Similar Content
The mean of the sample means is a) A biased estimator of the population b) An
The mean of the sample means isa) A biased estimator of the populationb) An unbiased estimator of the population...
MATH 310 DePaul University Linear Algebra Math Worksheet
...
CS 237 University of New Hampshire Probability Midterm I Exam Practice
Here are ten questions about probability, pdf and cdf. I need the tutor who are good at these problems....
Simple linear regression questions
u5c4fu5e55u5febu7167 2015-09-16 u4e0bu53489.58.08.png...
assignments 6.1 to 8.6 mymath lab
from assignments 6.1 to 8.6 . it is online homework in mymathlab.😡 ...
without drawing the graph of the equation, determine how many points the parabo.
determine how many points the parabola has in common with the x-axis and whether its vertex lies above, on , or below the ...
Applicaitons Of Linear Regression
Great post! Indeed, when selling on eBay, one has to compare the net amount to be received after eBay takes its fees. This...
Linear Algebra Vector Space
Let ? be the set of vectors in ℝ3 whose third component is 1. ? isn’t a subspace of ℝ3 because isn’t closed under ...
Psy 326 Dq Wk 5
A research proposal is an outline that presents and justifies the need to explore an identified research problem and the p...
Related Tags
Book Guides
Fahrenheit 451
by Ray Bradbury
Harry Potter and the Sorcerers Stone
by J. K. Rowling
The Magic Mountain
by Thomas Mann
Girl Stop Apologizing
by Rachel Hollis
The Awakening
by Kate Chopin
A Farewell To Arms
by Ernest Hemingway
Extreme Ownership - How US Navy SEALs Lead and Win
by Jocko Willink and Leif Babin
Crippled America
by Donald J Trump
The Good Earth
by Pearl S. Buck
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
6 question please answer and post answers only thanks
1. Find the y-intercept of the equation of the regression line for the following data:
Please round to the ...
6 question please answer and post answers only thanks
1. Find the y-intercept of the equation of the regression line for the following data:
Please round to the nearest thousandth. Consumer Price Index 30.2 48.3 112.3 162.2 191.9 197.8 Cost of Pizza 0.15 0.35 1.00 1.25 1.75 2.00 2. Find the slope of the equation of the regression line for the following data:Please give your answers rounded to the nearest hundredth.. Consumer Price Index 30.2 48.3 112.3 162.2 191.9 197.8 Cost of Pizza 0.15 0.35 1.00 1.25 1.75 2.00 3.For a certain set of data, the Pearson correlation coefficient was 0.87. It was calculated based on 50 data points. Answer the following questions, based off of this information. (a)Let alpha be 0.05. Is the correlation coefficient significant? [ Select ] ["Yes", "No"] (b)Using your answer from (a), is it reasonable to fit the regression line to the data? [ Select ] ["Yes", "No"] (c)If you were to the predict a value of the dependent variable, would you use the regression line or the mean of all the values of the dependent variable? [ Select ] ["Regression line, or "Mean of all the values of the dependent variable"] 4. 4. For a certain set of data, the Pearson correlation coefficient was -0.467. It was calculated based on 8 data points. Answer the following questions, based off of this information. (a) Let alpha be 0.05. Is the correlation coefficient significant? [ Select ] ["Yes", or "No", "", ""] (b) Using your answer from (a), is it reasonable to fit the regression line to the data? [ Select ] ["Yes", or "No"] (a)If you were to the predict a value of the dependent variable, would you use the regression line or the mean of all the values of the dependent variable? [ Select ] ["Regression Line", or "Mean of all of the values of the dependent variable"] 5. In a study conducted by University of Arizona researchers, the total weight (in pounds) of garbage discarded in one week and the household size were recorded for 62 households. The linear correlation coefficient is r = 0.759 and the regression equation is = 0.445 + 0.119x, where x represents the total weight of discarded garbage. The mean of the 62 garbage weights is 27.4 pounds and the 62 households have a mean size of 3.71 people. What is the best predicted number of people in a household that discards 50 pounds of garbage? Round to the nearest hundredth6. A sample of 40 women is obtained, and their heights (in inches) and pulse rates (in beats per minutes) are measured. The linear correlation coefficient is 0.202 and the equation of the regression line is = 18.2 + 0.920x, where x represents height (based on data from the National Health Examination Survey). The mean of the 40 heights is 63.2 in. and the mean of the 40 pulse rates is 76.3 beats per minute. Find the best predicted pulse rate of a woman who is 70 inches tall. Please round to the nearest tenth.
Marketing Data Analytics
Part 1: Concepts – Multiple Choice (8 questions) Part 2: Application – Short Answers (2 questions)Please answer the 1 ...
Marketing Data Analytics
Part 1: Concepts – Multiple Choice (8 questions) Part 2: Application – Short Answers (2 questions)Please answer the 10 questions in the attached document.
9 pages
Discussion Questions Sp
Suppose you wanted to estimate the average household income of all Grand Canyon University (GCU) students. To expedite the ...
Discussion Questions Sp
Suppose you wanted to estimate the average household income of all Grand Canyon University (GCU) students. To expedite the process, you only gather ...
4 pages
Developing Problem Solving Skills.edited
Suspicious survey. A survey shows that of 100 nurses, 75 play at least soccer, 95 play at least softball, and 50 play both ...
Developing Problem Solving Skills.edited
Suspicious survey. A survey shows that of 100 nurses, 75 play at least soccer, 95 play at least softball, and 50 play both soccer and softball. Is ...
MATH 302 American Public University Multiple Linear Regression Analysis HW
Assignment Guidance:In the Excel document, you will find the 2018 data for 17 cities in the data set Cost of Living. Inclu ...
MATH 302 American Public University Multiple Linear Regression Analysis HW
Assignment Guidance:In the Excel document, you will find the 2018 data for 17 cities in the data set Cost of Living. Included are the 2018 cost of living index, cost of a 3-bedroom apartment (per month), price of monthly transportation pass, price of a mid-range bottle of wine, price of a loaf of bread (1 lb.), the price of a gallon of milk and price for a 12 oz. cup of black coffee. All prices are in U.S. dollars.You use this information to run a Multiple Linear Regression to predict Cost of living, along with calculating various descriptive statistics. This is given in the Excel output (that is, the MLR has already been calculated. Your task is to interpret the data). Based on this information, in which city should you open a second office in? You must justify your answer. If you want to recommend 2 or 3 different cities and rank them based on the data and your findings, this is fine as well. Deliverable Requirements:This should be ¾ to 1 page, no more than 1 single-spaced page in length, using 12-point Times New Roman font. You do not need to do any calculations, but you do need to pick a city to open a second location at and justify your answer based upon the provided results of the Multiple Linear Regression. The format of this assignment will be an Executive Summary. Think of this assignment as the first page of a much longer report, known as an Executive Summary, that essentially summarizes your findings briefly and at a high level. This needs to be written up neatly and professionally. This would be something you would present at a board meeting in a corporate environment. If you are unsure of an Executive Summary, this resource can help with an overview. What is an Executive Summary?Things to Consider:To help you make this decision here are some things to consider:Based on the MLR output, what variable(s) is/are significant? From the significant predictors, review the mean, median, min, max, Q1 and Q3 values? It might be a good idea to compare these values to what the New York value is for that variable. Remember New York is the baseline as that is where headquarters are located.Based on the descriptive statistics, for the significant predictors, what city has the best potential? What city or cities fall are below the median? What city or cities are in the upper 3rd quartile?Grading Breakdown: 1) Executive Summary – up to 10%
a. Please review what an Executive Summary looks like:
▪ What is an Executive Summary?
b. Must have cover page.
2) Grammar – up to 10%
a. Spell and grammar check your work.
b. Make sure you have correct punctuation and complete sentences. 3) State significant predictors – up to 25% a. Must state which predictors are significant at predicting Cost of Living and how
do you know. b. Show the comparison to alpha to state your results and conclusion. c. Do these significant predictors make sense, if you want to relocate? 4) Discuss descriptive statistics for the significant predictors – up to 25% a. From the significant predictors, review the mean, median, min, max, Q1 and Q3
values.
b. What city or cities fall above or below the median and/or the mean? c. What city or cities are in the upper 3rd quartile? Or the bottom quartile? d. How do these predictors compare to the baseline of NYC? What cost more or
less money than NYC? 5) Recommend at least 2 cities to open a second location in – up to 30% a. You must justify your answer for full credit. b. You need to use the Significant Predictors AND Descriptive Statistics in your
justification. c. Justification without the use of Significant Predictors WILL NOT get full credit. d. Justification without the use of Descriptive Statistics WILL NOT get full credit.
You need to use both. e. For example, let’s look back at London. London at 88.33, is 11.67% less
expensive than NYC. But that doesn’t mean London is a good place to open a
second location once you discuss the significant predictors and how it relates
back to each city.
f. Use what you have learned in the course and analyze all the data not just what
you see on the surface.
g. You must use the numbers and the output to justify your answers. Do not use
any outside resources to justify your answer. Only use Significant Predictors
AND Descriptive Statistics.
Earn money selling
your Study Documents