Describe the set of policy interventions that makes up your policy

The policy challenges arising from public health nutrition (PHN) and environmental sustainability problems are unprecedented. Dietary behaviours contribute to 1.4 billion people globally being overweight and obese (1) and are implicated in fourteen of the top twenty determinants of global deaths. (2) Along with an increasing population size, dietary behaviours also place significant demands on the environment to provide a sufficient food supply. Relatedly, diminishing environmental resources (3) and climate change threaten global food and nutrition security (4) with reportedly 868 million people currently undernourished. (5) These PHN and environmental sustainability problems are interconnected and share common dietary causes and solutions – a healthy diet is largely a sustainable diet. (6–12) According to the FAO, sustainable diets are ‘those diets with low environmental impacts which contribute to food and nutrition security and to healthy life for present and future generations. Sustainable diets are protective and respectful of biodiversity and ecosystems, culturally acceptable, accessible, economically fair and affordable; nutritionally adequate, safe and healthy; while optimizing natural and human resources’. (13)”
The article continues …
“Public policy, as well as community and industry actions are required to achieve healthy and sustainable diets”
This food policy topic is now recognised as an urgent priority by local, state, national and international food policy agencies. This assignment is about food policy formulation and particularly a policy to promote healthy and sustainable diets.
Whereas the focus for this assignment is a critical analysis for making a food policy (i.e. a prospective analysis), the focus for assignment 2 is a critical analysis of how and why a food policy was made (i.e. a retrospective analysis).Assessment criteria
The assessment will be based on your ability to demonstrate application of the knowledge and skills covered in the unit. This assignment relates to learnings in modules 1–3, and is designed to assess students against Unit Learning Outcomes 1–4.
Specifically, the assignment will be marked according to the following criteria (adapt these to structure the sub-headings in your report):
Description of the evidence for the food policy problem of unhealthy and unsustainable diets (~400 words, 8/60 marks)Define the policy problem.Summarise the evidence for the policy problem.This criteria relates to Food Policy and Public Health learnings in Modules 1 and 2, and Unit Learning Outcomes 1 and 2.
Assessment of the cause(s) of the policy problem (~400 words, 8/60 marks)Assess the cause(s) of the policy problem in relation to one or more of the following: genetics, dietary behaviour, the food supply, the broader food system, social and environmental circumstances, or something else.Identify who is responsible for tackling this cause(s).This criteria relates to Food Policy and Public Health learnings in Modules 2, 3 and 4, and Unit Learning Outcomes 2 and 3.
Review the policy interventions available to promote healthy and sustainable diets (~1200 words, 20/60 marks)Identify the type of policy intervention(s) to tackle the causes of the policy problem.Review the evidence (if any) of the risks and benefits for these interventions.Organise your identified interventions in accordance with the three orders of food system change.This criteria relates to Food Policy and Public Health learnings in Module 3, and Unit Learning Outcomes 3 and 4.
Formulate a food policy to promote healthy and sustainable diets in the form of a coherent set of policy interventions (~1000 words, 18/60 marks)Explain who is responsible for overseeing the initiation, management and coordination, and monitoring of the food policy.Describe the set of policy interventions that makes up your policy.Describe who is responsible for formulating, implementing and evaluating each of the interventions.

Regression analysis | Mathematics homework help

Question 1 Assignment: Data needed for questions 3-7 at bottom of page:

In a regression analysis with multiple dependent variables, multicollinearity can be caused by:

A strong nonlinear relationship between the dependent variable and one or more independent variables.

A strong heteroskedastic relationship between the dependent variable and one or more independent variable.

A strong linear relationship between two or more independent variables.

None of the above.

Question 2 
Market researcher Ally Nathan is studying the relationships among price, type (classical or steel string), and consumer demand for acoustic guitars. She wants to find the relationship between demand and price, controlling for type.
To determine this relationship, she should

Run a simple regression of the dependent variable demand on the independent variable price and observe the coefficient on price. 

Run a simple regression of the dependent variable demand on the independent variable type and observe the coefficient on type. 

Run a multiple regression of the dependent variable demand on the independent variables price and type and observe the coefficient on type. 

Run a multiple regression of the dependent variable demand on the independent variables price and type and observe the coefficient on price. 

Question 3 
The regression analysis relates US annual energy consumption in trillions of BTUs to the independent variable “US Gross Domestic Product (GDP) in trillions of dollars”.
The coefficient on the independent variable tells us that:

For every additional dollar of GDP, average energy consumption increased by 3,786 trillion BTUs.

For every additional trillion dollars of GDP, average energy consumption increased 3,786 BTUs. 

For every additional trillion BTUs of energy consumption, average GDP increased by $3,786 trillion. 

For every additional trillion dollars of GDP, average energy consumption increased by 3,786 trillion BTUs. 

Question 4 
The regression analysis relates US annual energy consumption in trillions of BTUs to the independent variable “US Gross Domestic Product (GDP) in trillions of dollars”.
Which of the following statements is true?

The y-intercept of the regression line is 62,695 trillion BTUs. 

The x-intercept of the regression line is $62,695 trillion.

In the event that a thermonuclear war completely halts all economic activity and the US GDP drops to zero, energy consumption will sink to 62,695 trillion BTUs. 

None of the above. 

Question 5 
The regression analysis relates US annual energy consumption in trillions of BTUs to the independent variable “US Gross Domestic Product (GDP) in trillions of dollars”. 
In a given war, if GDP is $7.4 trillion, expected energy consumption is:

Around 91,501 trillion BTUs

Around 90,711 trillion BTUs 

Around 28,016 trillion BTUs

Around 467,729 trillion BTUs.

Question 6 
The regression analysis relates US annual energy consumption in trillions of BTUs to the independent variable “US Gross Domestic Product (GDP) in trillions of dollars”.
How much of the variation in energy consumption can be explained by variation in the gross domestic product?

About 99.99%

About 97%

About 94%

Almost none of the variation in energy consumption can be explained by variation in GDP. 

Question 7 
The data table at the bottom of the page tabulates a pizza paror’s advertising expenditures and sales for 8 consecutive quarters. The marketing manager wants to know how much of an impact current advertising will have on sales two quarters from now.
While running a regression with the dependent variable “sales” and the independent variable “advertising lagged by two quarters”, how many data points can she use, given the available data?

9

For questions 3 through 6:
Year GDP 
(in $trillions) Car Gas Mileage (in mpg) Energy Consumption 
( in trillions of BTU)
1980 2.796 16 78,435
1981 3.131 16.5 76,569
1982 3.259 16.9 73,441
1983 3.535 17.1 73,317
1984 3.933 17.4 76,972
1985 4.213 17.5 76,705
1986 4.453 17.4 76,974
1987 4.743 18 79,481
1988 5.108 18.8 82,994
1989 5.489 19 84,926
1990 5.803 20.2 84,567
1991 5.986 21.1 84,640
1992 6.319 21 86,051
1993 6.642 20.5 87,780
1994 7.054 20.7 89,571
1995 7.401 21.1 91,501
1996 7.813 21.2 94,521
1997 8.318 21.5 94,969
1998 8.782 21.6 95,338
1999 9.274 21.4 96,968

US Energy Consumption (in trillion BTUs)
vs. Gross Domestic Product ($trillions)

Regression Statistics
Multiple R 0.9709
R2 0.9426
Adjusted R2 0.9394 F test results
Standard Error 1,889 F value Signif. F
Observations 20 295.51 0.0000 

Coefficients Std Error t Stat P-value
Intercept 62,695 1,325 47.31 0.0000 
GDP ($trillions) 3,786 220 17.19 0.0000 

For Question #7:

Quarter Sales (in $) Advertising (in $)
Qtr 1, 2001 523,000 88,000
Qtr 2, 2001 512,000 84,000
Qtr 3, 2001 528,000 92,000
Qtr 4, 2001 533,000 92,000
Qtr 1, 2002 540,000 96,000
Qtr 2, 2002 540,000 95,000
Qtr 3, 2002 538,000 93,000
Qtr 4, 2002 541,000 98,000

level of your learning objectives

wk3t2/topic 1/t

Reflect on a lesson you would like to teach to a friend or family member. Determine the level of your learning objectives using Bloom’s taxonomy. Construct three learning objectives containing appropriate active verbs. Identify a possible teaching strategy for each of your objectives. Indicate how you plan to measure each objective.

STROKE RECOGNITION

Learning Objective: After reading a handout, family member can properly recite the acronym used as a mnemonic to help detect and enhance responsiveness to the needs of a person having a stroke.

Measurement: When asked to recite and explain FAST family member is able to state (FAST) Facial drooping, Arm weakness, Speech difficulties and Time to call 911.

Teaching Strategy: Self instruction

Taxonomy: Cognitive

Learning Objective: After a brief one on one discussion about how to detect and enhance the responsiveness to the needs of a person having a stroke the family member can verbalize feelings of confidence in stroke detection mnemonic FAST and meaning.

Measurement: Question & Answer

Teaching Strategy: One on one discussion

Taxonomy: Affective

Learning Objective: After 30 minutes of teaching and demonstrations how to detect and enhance the responsiveness to the needs of a person having a stroke, the family member can perform a return demonstration on FAST mnemonic and stroke detection.

Measurement: Family member can perform return demonstration on how to enhance responsiveness to the needs of a person having a stroke and the mnemonic FAST.

Teaching Strategy: Demonstration and return demonstration

Taxonomy: Psychomotor

 

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The elements of American Realism

Analyze the elements of American Realism. What events contributed to the rise of the Realist movement and how did it take shape in art. Choose at least 3 Realist artists and discuss the political and social circumstances surrounding the creation of their works and how your examples (in terms of visual elements as well as content) illustrate the characteristics of Realism.

Sample Solution

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