Write in essay format not in outline, bulleted, numbered or other list format.
Use the five paragraph format. Each paragraph must have at least five sentences. Include 3 quotes with quotation marks and cited in-line and in a list of references. Include an interesting meaningful title.
Include at least one quote from each of 3 different articles.
Cite your sources in a clickable reference list at the end. Do not copy without providing proper attribution (quotation marks and in-line citations).
Develop a disaster recovery plan for an organization. There are many different templates available online for you to use as reference and guidance. Your plan should cover the following sections (these sections detail the elements in a DR plan in the sequence defined by industry compliance standards ISO 27031 and ISO 24762):
Your paper should meet the following requirements: 100% original content
Hello,
i need this paper by 06/24 afternoon.
Strictly No plagiarism please use your own words.
Discuss in 500 words, why institutions might be reluctant to move their IT to the cloud. Consider specific industries like education, medicine, military, etc.
Use at least three sources. Use the Research Databases available from the Danforth Library (https://libguides.nec.edu/az.php)not Google. Include at least 3 quotes from your sources enclosed in quotation marks and cited in-line by reference to your reference list. Example: “words you copied” (citation) These quotes should be one full sentence not altered or paraphrased. Cite your sources using APA format. Use the quotes in your paragraphs. Stand alone quotes will not count toward the 3 required quotes.
Copying without attribution or the use of spinbot or other word substitution software will result in a grade of 0.
Write in essay format not in bulleted, numbered or other list format.
Strictly No plagiarism
complete by tommorrow
What is the impact of rapid environmental changes on organizations?
APA format with references and minimum 300 words.
Kindly discuss any of the topics below with additional references
Compare and contrast Support Vector Machine to other classification approaches.
write in 500 words use APA format.
on time delivery.
plagiarism free.
Information Technology and Organizational Learning Assignment:
Discuss in 500 words or more the top 5 details that should be included in your cloud SLA.
Use at least three sources. Use the Research Databases available from the Danforth Library not Google. Include at least 3 quotes from your sources enclosed in quotation marks and cited in-line by reference to your reference list. Example: “words you copied” (citation) These quotes should be one full sentence not altered or paraphrased. Cite your sources using APA format. Use the quotes in your paragaphs. Stand alone quotes will not count toward the 3 required quotes.
Write in essay format not in bulleted, numbered or other list format.
using the link below write the discussion 350 words
Read the attached opinion piece where the author indicates that the Great Recession of 2009 was not caused by the Free Market, but was instead caused by US Government policies.
Locate two JOURNAL articles that discuss this topic further. You need to focus on the Abstract, Introduction, Results, and Conclusion. For our purposes, you are not expected to fully understand the Data and Methodology.
2) 2 replies each 150 words
Final Exam DPEE
Note:
· For demonstrating conceptual understanding, you are required to work on the model that is easier to handle or compute, not necessarily the more suitable (or more complicated) model for the dataset. Follow the question description.
· You don’t need to check the assumption of a model unless the question asks for it. For example, if the question asks you to make prediction based on a model, you don’t need to check the assumption for the model before making prediction.
· For any of the testing (hypothesis test) problem, define Ho/Ha, compute the test statistic, report the exact p value, and state the conclusion. The default alpha value is 5%, unless specify.
· Elaborate your reasoning clearly and show relevant plots, R results, and tables to support your opinion in each step and conclusion.
· Submit the Rmd file and the corresponding pdf file knitted from it, along with your answer, this format is similar to your homework.
· The data is real, just like the project you are working on. Hence it is possible that even after the remedial method has been done, the model is still not perfect. When this happens, evaluation will be based on the level you execute the methods covered in Stat512 to improve the model. Don’t worry if your model is not perfect, try your best to demonstrate the skill set you learn in this class.
Study the data with a linear analysis and complete the problems. The data set, dataDPEE.csv has 3 continues predictors and two categorical predictors.
Problem 1. Consider only the first order model with X1, X2 and X3, perform the following hypothesis.
a. (10) whether X1 can be dropped from the full model.
> dpeemod <- lm(y ~ x1 + x2 + x3)
> plot(dpee)
> summary(dpeemod)
Call:
lm(formula = y ~ x1 + x2 + x3)
Residuals:
Min 1Q Median 3Q Max
-15.948 -11.640 -1.480 6.402 31.650
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 90.79017 22.07408 4.113 0.00106 **
x1 -0.68731 0.47959 -1.433 0.17377
x2 -0.47047 0.24227 -1.942 0.07254 .
x3 -0.06845 0.46523 -0.147 0.88513
—
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 14.75 on 14 degrees of freedom
Multiple R-squared: 0.6257, Adjusted R-squared: 0.5455
F-statistic: 7.8 on 3 and 14 DF, p-value: 0.002652
Ho: X1 is significant and cannot be dropped from the model.
Ha: X1 can be dropped from the model.
Using the model Y~X1 + X2 + X3,
b. (10) whether X1 can be dropped from the model containing only X1 and X2.
Problem 2 (10) Consider the first order model with X1, X2 and X3, simultaneously estimate parameters (beta1, beta2 and beta3) with a confidence level of 75%.
Problem 3 (20) Perform appropriate analysis to diagnose the potential issues with the first order full mode with X1 X2 and X3, improve the model as much as possible with the methods covered in Stat512. You should also consider the assumption checking for your revised model.
Problem 4
a. (10) Compute AIC, BIC, and PRESSP to compare the following two models.
· The model on the first order terms for X1 and X2 and the interaction term X1X2.
· The model on the first order terms for X1, X2 and X3
Do they all yield the same better model? If not, explain.
b. (10) Select the model that you think is better to predict the mean response value, then predict the mean response for the following case, at a confident level of 99%.
x1
x2
x3
45
36
45
Problem 5
X4 and X5 are two factors on Y.
a. (10) Is there any significant interaction effect between X4 and X5 on Y?
b. (10) With the ANOVA method, compute the 95% confidence interval for the following difference, respectively:
D1= The difference in the mean of Y when (X4=high, X5=less) and (X4=high, X5=more)
D2= The difference in the mean of Y when (X4=low, X5=less) and (X4=low, X5=more)
c. (10) With the ANOVA method, compute the 95% confidence interval for
D1-D2
Where D1 and D2 are described in b.
How is your result related to a?
