To prepare for this Assignment:

Review this week’s Learning Resources and media program related to regression and correlation.

Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in the Learning Resources for this week.

Based on the dataset you chose, construct a research question that can be answered with a Pearson correlation and bivariate regression.

• Once you perform your correlation and bivariate regression analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.
• For this Assignment:
• Write a 2- to 3-paragraph analysis of your correlation and bivariate regression results for each research question. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1SES. Do not forget to evaluate if the correlation and bivariate regression assumptions are met and report the effect size. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.

I’m working on a calculus discussion question and need an explanation and answer to help me learn.

In this discussion board, you will create a graph of a function that has an x-value where the limit exists, create a graph of a function that has an x-value where the limit does not exist, and create a graph of a function that has an x-value where the limit at x is not equal to the value of the function at x.

In this unit, you learned about limits and how to evaluate them graphically. You saw instances on graphs where limits exist and do not exist. To start this discussion assignment, use desmos.com to create a graph of a function that has the following characteristics:

• An x-value where the limit exists.
• An x-value where the limit does not exist.
• An x-value where the limit at x is not equal to the value of the function at x.

The attached data set bumpus is an excerpt from the classic data set by Bumpus (1898). It concerns the mortality of house sparrows based on several measurements. In this case survive=1 indicates the sparrow survived, survive=0 indicates it did not. The predictor variable in this case is length. [The code for conducting a logistic regression is in the handout from class.]

(1) Conduct a linear regression predicting survive from length. Show the residual plots and briefly explain how they clearly show that this is not the right analysis (just referring to the assumptions of linear regression).

(2) Conduct a logistic regression to predict the probability of surviving from length. Give the output showing the estitmated beta_0-hat and beta_1-hat.

(3) Give the equation for predicting the estimated probability of surviving from length, and the particular estimated probability for a sparrow of length 160.

As we near the end of the term, it is important to acknowledge the waysyou obtained support so far this term. In addition, as we discuss thedifferent ways that you were able to work through the material, this mayshare ideas with others for the remainder of the term. So, for thisDiscussion, please share the different ways that you found support(technical, education, emotional, etc….) for the course.

HIs should be a substantive response (between 75 -150 words minimum)to the topic(s) in your own words, referencing (using APA format) whatyou have discovered in your required reading and other learningactivities.You may use resources in addition to your textbookthat supports your post(s); however, you must mention the source(s) thatyou used in your post(s) using APA format in-text citations andreference lists.

Using the uploaded Clinical Trial on breast cancer dataset. Perform a Kaplan-Meier Analysis to determine the survival curve for the breast cancer survivors. 

H0 The risk of dying from breast cancer will occur within five years. (Null Hypothesis)

H1 The risk of dying from breast cancer does not occur within five years. (Alternative Hypothesis)

Ensure to submit the following requirements for the assignment:

Review the analysis from the standpoint of how many patients survive over the seven-year time period that the clinical trial covered. 

Present your findings as a Survival Time chart in a Word document, with a title page, introduction explaining why you would conduct a survival analysis, a discussion where you interpret the meaning of the survival analysis, and a conclusion.