The data for lab 1-2 was created based upon the paper by the STARSproject and modified by Dr. Hole. Fast food meals are typically high incalories, fat, sodium and cholesterol, which are known to increase the riskof obesity and diabetes. Researchers found that unhealthy ingredients,large portion size, low cost, and convenience make fast food cause obesity.The dataset provided by Dr. Hole is derived from a very large consumersurvey conducted by market researchers at Milward Brown. The survey wascarried out using a CATI (computer Aided Telephone Interviewing)methodology. Random digit telephone numbers were dialed and theperson answering was asked “Do you buy fast food nowadays?” Only thoseresponding “Yes” were then surveyed. In class, we already examined thedatasets, found results, and drew tables to answer several questions.Dataset: Lab 1-2.savRequirements: For your 1-2 assignment, please provide scholarly tables and your findings/thoughts with reasonable justification for the following questions usingfast food dataset:1. Are there regional differences in fast food consumption?2. How many people live in the Midlands, the North and the South?What percentage of people live in each of these regions?3. Does educational background affect fast food consumption?4. What’s the relationship between how often people eat fast food,and how many TV hours they watched during the week? How doesthis differ for men and women?SubmissionRequirementvia Blackboard“Lab 1-2”:• A Word document with scholarly tables and yourfindings/thoughts with justification for each question. (Using APAor AMA format)Margins Font Spacing Appendix1” 12Times NewRomandouble SPSS originaloutputOthers: 2 | MPH 503 SPSS 1-2• Paginationo Number all pages; type your last name before thepage number (e.g.,Chen 1)• Include a cover page witho Name: [Your name]o Title: Lab [number]o Date: [Month, Date, Year]o Course number: MPH 503o Section number: [A or B]• Statistical report and referenceso American Psychology Association (APA) 6th Editionor American Medical Association
The data for lab 1-2 was created based upon the paper by the STARSproject and modified by Dr. Hole. Fast food meals are typically high incalories, fat, sodium and cholesterol, which are known to increase the riskof obesity and diabetes. Researchers found that unhealthy ingredients,large portion size, low cost, and convenience make fast food cause obesity.The dataset provided by Dr. Hole is derived from a very large consumersurvey conducted by market researchers at Milward Brown. The survey wascarried out using a CATI (computer Aided Telephone Interviewing)methodology. Random digit telephone numbers were dialed and theperson answering was asked “Do you buy fast food nowadays?” Only thoseresponding “Yes” were then surveyed. In class, we already examined thedatasets, found results, and drew tables to answer several questions.Dataset: Lab 1-2.savRequirements: For your 1-2 assignment, please provide scholarly tables and your findings/thoughts with reasonable justification for the following questions usingfast food dataset:1. Are there regional differences in fast food consumption?2. How many people live in the Midlands, the North and the South?What percentage of people live in each of these regions?3. Does educational background affect fast food consumption?4. What’s the relationship between how often people eat fast food,and how many TV hours they watched during the week? How doesthis differ for men and women?SubmissionRequirementvia Blackboard“Lab 1-2”:• A Word document with scholarly tables and yourfindings/thoughts with justification for each question. (Using APAor AMA format)Margins Font Spacing Appendix1” 12Times NewRomandouble SPSS originaloutputOthers: 2 | MPH 503 SPSS 1-2• Paginationo Number all pages; type your last name before thepage number (e.g.,Chen 1)• Include a cover page witho Name: [Your name]o Title: Lab [number]o Date: [Month, Date, Year]o Course number: MPH 503o Section number: [A or B]• Statistical report and referenceso American Psychology Association (APA) 6th Editionor American Medical Association
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter7: Distance And Approximation
Section7.3: Least Squares Approximation
Problem 31EQ
Related questions
Question
The data for lab 1-2 was created based upon the paper by the STARS
project and modified by Dr. Hole. Fast food meals are typically high in
calories, fat, sodium and cholesterol, which are known to increase the risk
of obesity and diabetes. Researchers found that unhealthy ingredients,
large portion size, low cost, and convenience make fast food cause obesity.
The dataset provided by Dr. Hole is derived from a very large consumer
survey conducted by market researchers at Milward Brown. The survey was
carried out using a CATI (computer Aided Telephone Interviewing)
methodology. Random digit telephone numbers were dialed and the
person answering was asked “Do you buy fast food nowadays?” Only those
responding “Yes” were then surveyed. In class, we already examined the
datasets, found results, and drew tables to answer several questions.
Dataset: Lab 1-2.sav
Requirements: For your 1-2 assignment, please provide scholarly tables and your findings
/thoughts with reasonable justification for the following questions using
fast food dataset:
1. Are there regional differences in fast food consumption?
2. How many people live in the Midlands, the North and the South?
What percentage of people live in each of these regions?
3. Does educational background affect fast food consumption?
4. What’s the relationship between how often people eat fast food,
and how many TV hours they watched during the week? How does
this differ for men and women?
Submission
Requirement
via Blackboard
“Lab 1-2”:
• A Word document with scholarly tables and your
findings/thoughts with justification for each question. (Using APA
or AMA format)
Margins Font Spacing Appendix
1” 12
Times New
Roman
double SPSS original
output
Others:
project and modified by Dr. Hole. Fast food meals are typically high in
calories, fat, sodium and cholesterol, which are known to increase the risk
of obesity and diabetes. Researchers found that unhealthy ingredients,
large portion size, low cost, and convenience make fast food cause obesity.
The dataset provided by Dr. Hole is derived from a very large consumer
survey conducted by market researchers at Milward Brown. The survey was
carried out using a CATI (computer Aided Telephone Interviewing)
methodology. Random digit telephone numbers were dialed and the
person answering was asked “Do you buy fast food nowadays?” Only those
responding “Yes” were then surveyed. In class, we already examined the
datasets, found results, and drew tables to answer several questions.
Dataset: Lab 1-2.sav
Requirements: For your 1-2 assignment, please provide scholarly tables and your findings
/thoughts with reasonable justification for the following questions using
fast food dataset:
1. Are there regional differences in fast food consumption?
2. How many people live in the Midlands, the North and the South?
What percentage of people live in each of these regions?
3. Does educational background affect fast food consumption?
4. What’s the relationship between how often people eat fast food,
and how many TV hours they watched during the week? How does
this differ for men and women?
Submission
Requirement
via Blackboard
“Lab 1-2”:
• A Word document with scholarly tables and your
findings/thoughts with justification for each question. (Using APA
or AMA format)
Margins Font Spacing Appendix
1” 12
Times New
Roman
double SPSS original
output
Others:
2 | MPH 503 SPSS 1-2
• Pagination
o Number all pages; type your last name before the
page number (e.g.,
Chen 1)
• Include a cover page with
o Name: [Your name]
o Title: Lab [number]
o Date: [Month, Date, Year]
o Course number: MPH 503
o Section number: [A or B]
• Statistical report and references
o American Psychology Association (APA) 6th Edition
or American Medical Association
• Pagination
o Number all pages; type your last name before the
page number (e.g.,
Chen 1)
• Include a cover page with
o Name: [Your name]
o Title: Lab [number]
o Date: [Month, Date, Year]
o Course number: MPH 503
o Section number: [A or B]
• Statistical report and references
o American Psychology Association (APA) 6th Edition
or American Medical Association
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