Create an R Script (*.R) file to explore three (3) visual and statistical measures of the logistic regression association between the variable mpg (Miles/(US) gallon)(independent variable) and the variable am (Transmission) (dependent variable) of the mtcars R built-in data set according to the steps below.

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Learning Goal: I’m working on a r question and need an explanation and answer to help me learn.Create an R Script to Explore three (3) Visual and Statistical Measures of the Logistic Regression Association Between the mpg and am Variables of the mtcars Data SetIn this assignment, you will use R and RStudio to create an R script (*.R) file to explore three (3) visual and statistical measures of the logistic regression association between the variable mpg (Miles/(US) gallon) (independent variable) and the variable am (Transmission)(dependent variable) of the mtcars R built-in data set. You will also provide a one-page summary of what you did, an interpretation of the results you obtained, and a reflection on your learning experience.To prepare for this assignment:Review the module’s interactive lecture and its references.
View the videos in the following section of the LinkedIn Learning course: R Essential Training Part 2: Modeling Data (Links to an external site.):Predicting Outcomes
To complete this assignment:Create an R Script (*.R) file to explore three (3) visual and statistical measures of the logistic regression association between the variable mpg (Miles/(US) gallon)(independent variable) and the variable am (Transmission) (dependent variable) of the mtcars R built-in data set according to the steps below. Give the script file a name that includes your first name and last name like this Solution-W4-FirstName-LastName.R:Create a scatter plot for am vs. mpg.
Fit a logistic regression model for mpg (independent variable) and am (dependent variable).
Predict the am for a mpg of 16 mpg.
Execute your *.R script file and display the results of its execution in the RStudio console and/or the Plots tabs.Take screenshots, showing current date and time, to demonstrate successful completion of your work. The screenshot should show the R commands you applied and the results you obtained. Do not capture trial and error results. Only your final results should be captured.
Summarize your work in one page in which you explain what you did, interpret your results, and reflect on your experience:Explain how you completed this assignment and how you resolved the issues you faced, if any.
Interpret the results you obtained from your actions including comments on the relationship between am and mpg from the scatter plot, an explanation of why a simple linear regression model may not be suitable and writing out the estimated model equation.
Reflect on your experience with this assignment and the lessons you learned.
To submit your response to this assignment:Prepare all the required screenshots.
Prepare your summary of your work (what you did, interpretation of results, and reflection).
Submit one Word document that:is at least 4-5 pages in length (including a cover page and a reference page, if any references are needed)
Conforms to the CSU Global Guide to Writing and APA (Links to an external site.).
Includes a cover page with the module number and name of the Critical Thinking assignment.
Does not include an abstract.
Includes all screenshots in the same order of execution of your *.R script.
Includes a one-page summary of explanation of what you did, interpretation of results, and reflection. The one-page summary should follow the screenshot and should refer to them individually.
Meets APA labeling requirements for all figures, including screenshots and code.
Submit your *.R script file
Requirements: 1 page summary

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