Hello this is the work I need help with. It is a Statistical Analysis Report for Research 1: Stats for Psychology. 7-2 Final Project Submission: Statistical Analysis ReportInstructionsSubmit your statistical analysis report. In this submission, you will complete Section II, Parts C, D, E, and F; Section III, Part A; and Sections IV and V. You will then combine those with the work you have done in your milestones, revised to incorporate all feedback gained throughout the course. It should be a complete, polished artifact containing all of the critical elements of the final project.Below is the feedback that I received for the Method that needs to be used for my data set.Feedback for 4-2 Final Project Milestone Two: What Method Will You Use?Top of Form Submission Feedback Data Analysis: Sample Size: Your sample size is N = 425. Data Analysis: Statistical Procedures: Correlation is the appropriate analysis for your data set because you are looking at how two variables (month and temperature) relate to crawling. Articulation of Response: Make sure to cite your sources if you use any. Also, it would be great if you elaborated on your ideas some more. Does the research question for your data set indicate (a) there is one sample and (b) the question aims to find a relationship between two variables? You want a correlation. A correlation determines the magnitude and direction of relationship between two variables (e.g., amount of sleep 30 participants got and length of time they spent on treadmill next day). Below is the feedback that I received for Hypothesizing Feedback for 5-1 Final Project Milestone Three: Hypothesizing Top of Form Submission Feedback Hypothesis: Null Hypothesis and Alternative Hypothesis: You are definitely on the right track but we should state your Null and Alternative very specifically to your data set. So something like: Null: Seasonal temperature does not affect the age of onset of infants' crawling. Alternative: Seasonal temperature affects the age of onset of infants' crawling. Below is the feedback I received for my introduction. Could you please give me an appropriate introduction for the scenario I chose. Submission Feedback Introduction: Scenario: Provide a more detailed summary of the scenario that you chose. For example, the general research question, participants, study design should all be explained.I chose Scenario 1 (Child and Adolescent Development. This scenario talks about babies and when they begin to crawl. Please do the Analysis on Scenario 1. Bottom of Form

There are four statistic questions on the file. Please answer these question clearly. For the question number 2(3.16),3(3.26) and 4(3.22), please use the software "SAS" to solve it, and also show me the process. For the question4(3.22), please write a report which include the answer part a,b,e,f. (ignore part b and c).

Project Logistic Regression You will use the state data that you used in your linear regression project. Choose one or more numerical predictor variables, and one binary outcome. If any of your predictors have large p-values, be sure to justify why you are including them. Please do not use HINCP or FINCP to predict FS: For your final report: Include and explain all relevant output.Explain what (each of) your independent variable(s) is measuring and discuss the value (especially sign!) of its coefficient in the regression model.Discuss any outliers in your predicted vs observed graph.To really impress, make a prediction for a particular household with a given set of predictor variables. Rubric for Project (40 points) 8 points: Model, including output including tables and p-values. 8 points: Graph. Comment on what you can learn from the graph, and what you get from the output that isn’t represented well in the graph. Is your model correctly predicting most of the outcomes? 8 points: Describe independent variable(s). Use the PUMS data dictionary as a starting point and explain in your own words. 8 points: Describe the model in your own words. Does it seem plausible to you? 8 points: Contrast with a linear regression model on the same data. Which do you prefer, and why? Note: Many of the binary variables are not defined as 0's and 1's, they are 1's and 2's or they may be ordinal variables and defined as 0's, 1's and 2's. Because of this, we need a way to recode our data.