Sashi OB dis 3 – I need a discussion on the below topic Writing Assignment Help. Sashi OB dis 3 – I need a discussion on the below topic Writing Assignment Help.

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Reflect on the assigned readings for Week 3 and then type a two page paper regarding what you thought was the most important concept(s), method(s), term(s), and/or any other thing that you felt was worthy of your understanding. Define and describe what you thought was worthy of your understanding in half a page, and then explain why you felt it was important, how you will use it, and/or how important it is in society or business.

Readings:

Sashi OB dis 3 – I need a discussion on the below topic Writing Assignment Help[supanova_question]

## art 157 photography Humanities Assignment Help

This assignment has 4 purposes:

- To make sure that your camera works.
- To see if you can use the basic controls on your cameras.
- To see if you can upload your images to a computer and process them properly.
- To see how creative you can be illustrating ideas.

Your goal is to make photographs that illustrate 10 of the words on the scavenger hunt list.

**The Process:**

Set your camera to RAW + JPG mode [note: you will only have to use this mode for this assignment]

Set your camera to monochrome Picture Style/Picture Control/Film Simulation mode

This setting is different on each camera. If you google your camera name plus “black and white picture mode” you should find a tutorial that’s specific to your camera. Ask me if you need help! [Note: we’re only using this for the first assignment. This is **not** the best way to convert to black and white. But it does give you a black and white preview in the camera!]

Shoot in Manual mode (M). Use autofocus if you like, but control the exposure.

Upload your images using Bridge.

Rename your files Lastname_YYMMDD_0001 (ex: Hemmerle_200115_0001)

Select **one** image to illustrate each word. You can only turn in one image for each word!

Make a folder called Lastname_200203_SELF on the class google drive, and upload your JPG and writeup files into it.

Print each image at 8.5” x 11” on any printer you have access to.

NOTE- All the images you turn in for this assignment should be made AFTER 15 JAN 2020.

Checklist:

- Am I turning in exactly 10 images?
- Are the images properly named?
- Are the images black and white?
- Don’t forget to do a write up!

**Write Up Guidelines**

Name your document Lastname_200115_WriteUp

Did you find interesting ways to illustrate each word?

Does it look like you thought about each image and found the best perspective?

Are your images properly named and uploaded?

Are your images properly exposed? In focus (if necessary)?

**Scavenger Hunt Word List**

1 Small

2 Bright

3 Shadow

4 Confusing

5 Busy

6 Dull

7 Line

8 Texture

9 Contrast

10 Flat

[supanova_question]

## Hussain DS HW – I need a research paper on the below question Writing Assignment Help

### Week03 HW

Attached Files:

- HW03.docx (24.773 KB)
- Advertising.csv (4.645 KB)
- Auto.csv (20.043 KB)
- Boston.csv (36.775 KB)
- Credit.csv (21.844 KB)

**Initially summarize the questions attempted**

**Q1: ISLR Textbook chapter review questions**

Chapter 3 – Linear Regression Review the following sections in Python

- Load Datasets
- 3.1 Simple Linear Regression
- 3.2 Multiple Linear Regression
- 3.3 Other Considerations in the Regression Model

**Q2 Textbook Theory Questions ****3.7 Exercises**

1. Describe the null hypotheses to which the p-values given in Table 3.4 correspond. Explain what conclusions you can draw based on these p-values. Your explanation should be phrased in terms of sales, TV, radio, and newspaper, rather than in terms of the coefficients of the linear model.

**Q3 Applied Textbook Questions with Python ****3.7 Exercises**

Hint – several github sites have the complete solution in python e.g.

https://github.com/mscaudill/IntroStatLearn

https://botlnec.github.io/islp/

8. This question involves the use of simple linear regression on the Auto data set. (a) Perform a simple linear regression with mpg as the response and horsepower as the predictor. Print the results. Comment on the output. For example:

i. Is there a relationship between the predictor and the response?

ii. How strong is the relationship between the predictor and the response?

iii. Is the relationship between the predictor and the response positive or negative?

iv. Predictions

- What is the predicted mpg associated with a horsepower of 98? What are the associated 95 % confidence and prediction intervals?
- Plot the response and the predictor, display the least squares regression line.
- Produce diagnostic plots of the least squares regression fit. Comment on any problems you see with the fit.

9. This question involves the use of multiple linear regression on the Auto data set.

(a) Produce a scatterplot matrix which includes all of the variables in the data set.

(b) Compute the matrix of correlations between the variables.

(c) Perform a multiple linear regression with mpg as the response and all other variables except name as the predictors and print the results. Comment on the output. For instance:

i. Is there a relationship between the predictors and the response?

ii. Which predictors appear to have a statistically significant relationship to the response?

iii. What does the coefficient for the year variable suggest?

(d) Produce diagnostic plots of the linear regression fit. Comment on any problems you see with the fit. Do the residual plots suggest any unusually large outliers? Does the leverage plot identify any observations with unusually high leverage?

(e) Fit linear regression models with interaction effects. Do any interactions appear to be statistically significant?

(f) Try a few different transformations of the variables, such as log(X), √ X, X2. Comment on your findings.

Opional

15. This problem involves the Boston data set, which we saw in the lab for this chapter. We will now try to predict per capita crime rate using the other variables in this data set. In other words, per capita crime rate is the response, and the other variables are the predictors.

(a) For each predictor, fit a simple linear regression model to predict the response. Describe your results. In which of the models is there a statistically significant association between the predictor and the response? Create some plots to back up your assertions.

(b) Fit a multiple regression model to predict the response using all of the predictors. Describe your results. For which predictors can we reject the null hypothesis H0 : βj = 0?

(c) How do your results from (a) compare to your results from (b)? Create a plot displaying the univariate regression coefficients from (a) on the x-axis, and the multiple regression coefficients from (b) on the y-axis. That is, each predictor is displayed as a single point in the plot. Its coefficient in a simple linear regression model is shown on the x-axis, and its coefficient estimate in the multiple linear regression model is shown on the y-axis.

(d) Is there evidence of non-linear association between any of the predictors and the response? To answer this question, for each predictor X, fit a model of the form Y = β0 + β1X + β2X2 + β3X3 + .

[supanova_question]

## Project 1 – Employee Handbook (IT Security) Science Assignment Help

thorough legal review by the company’s attorneys. Upon final approval by the Corporate Governance Board, the policies will be adopted and placed into the Employee Handbook.

## Research:

- Review the table of contents and relevant chapters in the Certified Information Privacy Professional textbook to find information about legal and regulatory drivers.
- Review the remaining course readings.
- Review the sample policies and procedures provided in Week 3.
- Find additional sources which provide information about the policy statements which should be covered in three policies for the Employee Handbook.

## Write:

- Prepare briefing package with approval drafts of the three IT related policies for the Employee Handbook. Yourbriefing package must contain the following:
- Use a professional format for your policy documents and briefing package. A recommended format is provided in the assignment template file (see the recommended template under Course Resources).
- You must include a cover page with the assignment title, your name, and the due date. Your reference list must be on a separate page at the end of your file. These pages do not count towards the assignment’s page count.
- Common phrases do not require citations. If there is doubt as to whether or not information requires attribution, provide a footnote with publication information or use APA format citations and references.
- You are expected to write grammatically correct English in every assignment that you submit for grading. Do not turn in any work without (a) using spell check, (b) using grammar check, (c) verifying that your punctuation is correct and (d) reviewing your work for correct word usage and correctly structured sentences and paragraphs.

- Executive Summary
- “Approval Drafts” for
- Acceptable Use Policy for Information Technology
- Bring Your Own Device Policy
- Digital Media Sanitization, Reuse, & Destruction Policy

As you write your policies, make sure that you address security issues using standard cybersecurity terminology (e.g. 5 Pillars of IA, 5 Pillars of Information Security). See the resources listed under Course Resources > Cybersecurity Concepts Review for definitions and terminology.

[supanova_question]

## need two different copies please follow instructions no plagarism Engineering Assignment Help

__Week03 HW__

Attached Files:

- HW03.docx (24.773 KB)
- Advertising.csv (4.645 KB)
- Auto.csv (20.043 KB)
- Boston.csv (36.775 KB)
- Credit.csv (21.844 KB)

**Initially summarize the questions attempted**

**Q1: ISLR Textbook chapter review questions**

Chapter 3 – Linear Regression Review the following sections in Python

- Load Datasets
- 3.1 Simple Linear Regression
- 3.2 Multiple Linear Regression
- 3.3 Other Considerations in the Regression Model

**Q2 Textbook Theory Questions ****3.7 Exercises**

1. Describe the null hypotheses to which the p-values given in Table 3.4 correspond. Explain what conclusions you can draw based on these p-values. Your explanation should be phrased in terms of sales, TV, radio, and newspaper, rather than in terms of the coefficients of the linear model.

**Q3 Applied Textbook Questions with Python ****3.7 Exercises**

Hint – several github sites have the complete solution in python e.g.

https://github.com/mscaudill/IntroStatLearn

https://botlnec.github.io/islp/

8. This question involves the use of simple linear regression on the Auto data set. (a) Perform a simple linear regression with mpg as the response and horsepower as the predictor. Print the results. Comment on the output. For example:

i. Is there a relationship between the predictor and the response?

ii. How strong is the relationship between the predictor and the response?

iii. Is the relationship between the predictor and the response positive or negative?

iv. Predictions

- What is the predicted mpg associated with a horsepower of 98? What are the associated 95 % confidence and prediction intervals?
- Plot the response and the predictor, display the least squares regression line.
- Produce diagnostic plots of the least squares regression fit. Comment on any problems you see with the fit.

9. This question involves the use of multiple linear regression on the Auto data set.

(a) Produce a scatterplot matrix which includes all of the variables in the data set.

(b) Compute the matrix of correlations between the variables.

(c) Perform a multiple linear regression with mpg as the response and all other variables except name as the predictors and print the results. Comment on the output. For instance:

i. Is there a relationship between the predictors and the response?

ii. Which predictors appear to have a statistically significant relationship to the response?

iii. What does the coefficient for the year variable suggest?

(d) Produce diagnostic plots of the linear regression fit. Comment on any problems you see with the fit. Do the residual plots suggest any unusually large outliers? Does the leverage plot identify any observations with unusually high leverage?

(e) Fit linear regression models with interaction effects. Do any interactions appear to be statistically significant?

(f) Try a few different transformations of the variables, such as log(X), √ X, X2. Comment on your findings.

Opional

15. This problem involves the Boston data set, which we saw in the lab for this chapter. We will now try to predict per capita crime rate using the other variables in this data set. In other words, per capita crime rate is the response, and the other variables are the predictors.

(a) For each predictor, fit a simple linear regression model to predict the response. Describe your results. In which of the models is there a statistically significant association between the predictor and the response? Create some plots to back up your assertions.

(b) Fit a multiple regression model to predict the response using all of the predictors. Describe your results. For which predictors can we reject the null hypothesis H0 : βj = 0?

(c) How do your results from (a) compare to your results from (b)? Create a plot displaying the univariate regression coefficients from (a) on the x-axis, and the multiple regression coefficients from (b) on the y-axis. That is, each predictor is displayed as a single point in the plot. Its coefficient in a simple linear regression model is shown on the x-axis, and its coefficient estimate in the multiple linear regression model is shown on the y-axis.

(d) Is there evidence of non-linear association between any of the predictors and the response? To answer this question, for each predictor X, fit a model of the form Y = β0 + β1X + β2X2 + β3X3 +

[supanova_question]

[supanova_question]

## Essay on the technology in treating cancer. Narrowed down to 1 or 2 specific cancers. Writing Assignment Help

This module is all about your first essay! My goal is to create essays that link to future job/education goals. Thus, your first essay is to think about how technology has or will impact the career or education field you plan to go into.

Before you look at the essay, though, read this magazine article: OMG! We’ve Been Here B4.pdf. It explains how technology has impacted human communication starting when people were OUTRAGED by the telephone and thought it would end up being used for the “exchange of twaddle between foolish women”. This theme of technology impacting something (in this case communication) might give you ideas for your paper.

To complete this module, you will:

1. Read the magazine article

2. Submit a properly formatted and edited “Tech &…” essay

A__ssignment Overview__

Technology is advancing every day and impacting the world in both positive and negative ways. Pick one area technology has impacted and further explore it. Your overall analysis can be positive or negative, but the tone should be clear through your writing. **Possible **topics include:

- Technology and Dating
- Technology and Nursing
- Technology and the Security
- Technology and Social Communication

These are very broad topics, so you might need to narrow the topic down even further.

**You must use citations and include a Works Cited page with at least 2 sources from the library databases. This is a research paper, so do not use “I”.**

The key categories for grading are: thesis/evidence, organization, MLA formatting, and grammar. You must also have a properly formatted Works Cited with at least 2 sources from the library databases. Since this is a research paper, you may not use “I”.

**Length: **400+ words

Essay on the technology in treating cancer. Narrowed down to 1 or 2 specific cancers. Writing Assignment Help[supanova_question]

## please follow the requirnment bellow Business Finance Assignment Help

1) Watch the following two videos:

https://www.ted.com/talks/julian_treasure_5_ways_to_listen_better#t-91455

https://www.youtube.com/watch?v=o97fVGTjE4w

2) Then post on discussion forum by Wednesday 1/22, reply to two of your classmates by Friday 1/24.

3) 1st Draft of Linked In assignments are due. To get credit, complete the following (by the assignment due date noted on syllabus documents):

3a–Create your Linked In profile

3b–Connect with me via Linked In invitation

4) Linked In assignment (must complete by Friday 1/24:

4a–connect with your team members via Linked In

4b–review your team members Linked In profile and offer each of them some critique and feedback

4c–utilize the feedback from your team members to improve your Linked In profile

[supanova_question]

## Build a one sheet model applying the five step process to calculate FCF, the uses of FCF, and other performance measures for Technology Inc.. Business Finance Assignment Help

Build a one sheet model applying the five step process to calculate FCF, the uses of FCF, and other performance measures for Technology Inc.. Your spreadsheet should contain the following sections:

1) FCF: consisting of calculations for NOPAT, NOWC, TOC, NIOC, and FCF.

2) Uses of FCF

3) Performance evaluation: ROIC, OP, CR, MVA, and EVA.

The model sheet must display each component of the formula. Columns and rows should be clearly labeled showing the equation for each formula. Each factor of the equation should be presented separately and used for the result. For example the OP Ratio = NOPAT / Sales. When presenting, you will create a cell which shows NOPAT, one that shows Sales, and one for the result. All original numbers used should reference a cell from the financial statements tab.

[supanova_question]

## Answer the following questions Business Finance Assignment Help

Based on the literature, using PEST analysis to analyze China-US trade war

Then answer questions based on keywords

1. Why did a trade war happen?

Globalization

Mercantilism

Economic slowdown and stagnation

Current account imbalance

North American Free Trade Agreement

Trump’s Seven Election Slogans

2. Trade war process

Economics, macroeconomics, the balance of payments

3. What does the trade war reflect?

Intellectual Property Protection

Exchange rate manipulation

Intellectual property theft and forced technology transfer

Lack of reciprocity

Wealth transfer

4. Who benefits from the trade war, and what role have international relations played in the trade war?

Impact on the U.S. economy

Impact on the Chinese economy

Impact on other countries

Business and government relations

china-US international relations

Business and government relations

5. Would China provide enough concessions to satisfy the demands of the U.S.? Would the U.S. back down? Or would the trade war escalate, causing unprecedented disruptions—and opportunities—in global trade patterns?

Trump’s accusations

Exchange rate manipulation

Intellectual property theft and forced technology transfer

Lack of reciprocity

Wealth transfer

Increase tariffs

The trade war has also had a significant impact on the U.S. stock market. From October to December 2018, the U.S. stock market fell by 20%.

China ’s unemployment rate rose to 4.9% in December from 4.8% in November. Xi Jinping’s efforts to curb debt and avoid financial risks have also exacerbated China’s economic slowdown as local governments are forced to reduce spending on infrastructure

China’s agricultural tariffs on U.S. soybeans are seen as an opportunity in countries such as Brazil and Argentina

[supanova_question]

## MOS 5425 Toxicology Unit 7 Business Finance Assignment Help

**i want 8 powerpoint slides with footnotes, not including title and references slides**

**minimum 50 words on each footnote!**

**No plagiarism!**

**Include a nice design and add pictures with references of possible**

Metals are basic elements that do not degrade any further, so they are able to persist in the environment. Metals may not always stay in the same form because they are able to react to form different compounds. Research a metal that was discussed in the textbook reading such as mercury, arsenic, or cadmium. Create a PowerPoint presentation at least seven slides in length, discussing the following:

- background information on the metal,
- the cornerstone xenobiotic pharmacokinetic properties and effects of the metal,
- the bioaccumulative effects of the metal in the environment and how it affects humans and the environment, and
- concentration of metal that is considered toxic and symptoms of toxicity by this metal.

Your PowerPoint should be a cumulation of what you have learned throughout the course. For instance, if the metal has particular effects on a certain body system or organ, be sure to give information about these effects. The assignment should meet the following requirements:

- The length should be a minimum of seven slides, not including your title and reference slides.
- Use speaker notes to explain the key points that are provided in the slides.
- Include least two visual aids and/or graphics.
- A minimum of two credible sources should be used for this assignment, and the references should be properly cited in a reference list at the end of the PowerPoint.

[supanova_question]

https://anyessayhelp.com/

2) Then post on discussion forum by Wednesday 1/22, reply to two of your classmates by Friday 1/24.

3) 1st Draft of Linked In assignments are due. To get credit, complete the following (by the assignment due date noted on syllabus documents):

3a–Create your Linked In profile

3b–Connect with me via Linked In invitation

4) Linked In assignment (must complete by Friday 1/24:

4a–connect with your team members via Linked In

4b–review your team members Linked In profile and offer each of them some critique and feedback

4c–utilize the feedback from your team members to improve your Linked In profile