Category: Python

Please refer to Class Material to complete this assignment! As a new learner, please help to keep it simple and put well comments for understanding each step! Thank you
This task should be completed with well-commented code. Please comment all methods and functions.

Python is an interpretable, general-purpose, high-level programming language. With the appropriate tools and libraries, this general-purpose language may be used to create nearly any kind of application. Python also has support for objects, modules, threads, exception handling, and automatic memory management, all of which are useful for modeling real-world issues and developing apps to address them.
Advantages of Python usage:
Python is a general-purpose programming language with an emphasis on readability and an easy-to-learn syntax that lowers program maintenance costs. In addition, the language enables third-party packages that promote modularity and code reuse, is fully open-source, and has scripting capabilities.
Its dynamic typing and dynamic binding, along with its high-level data structures, draw a large developer community for rapid application development and deployment.

Consider the crime data stored in crime.csv. We would like to understand how murder rate is
related to the other variables in the dataset. Note that State is the ”subject” here; it’s not a
predictor, and region is a qualitative variable. You can remove State column from dataset by using
the following command: crime.data <- crime[, -1]. (a) Build a linear regression model murder rate vs single.parent and comment on your model. (b) Build a multiple linear regression model to predict murder rate based on the other variables. The model should have all the important variables and it should not have any unimportant variables. Be sure to explore the interactions as well. Perform model diagnostics to check the standard model assumptions and perform any transformations needed to obtain a model for which the assumptions reasonably hold. (c) Use your final model to predict murder rate. Introduction Discuss the statement of the problem in terms of the statistical analyses that are being performed. Be sure to address the following:  What is the data set that you are exploring?  How will your results be used?  What type of analyses will you be running in this project? Answer the questions in a paragraph response. Remove all questions and this note before submitting! Do not include R code in your report. 2. Data Preparation 1. What are the variables stored in crime.csv? ( use the following functions) crime <- read.csv("crime.csv") str(crime)) 2. Remove the State variable (qualitative) remove State variable crime.data <- crime[, -1] pairs(crime.data) 3. Explain the correlation coefficients between variables (use cor(crime.data[, -8])) Answer the questions in a paragraph response. Remove all questions and this note before submitting! Do not include R code in your report. 3. Simple Linear Regression: Create a simple linear regression model to predict the murder rate using single.parent.  In general, how is a simple linear regression model used to predict the response variable using the predictor variable?  What is the equation for your model? a. Report the P-value in a formatted table as shown below: Statistic Value P-value X.XXXX *Round off to 4 decimal places. What is the predicted murder rate for a state that has single.parent of 29? Round your answer down to the nearest integer.  What is the predicted murder rate for a state that has single.paren of 25.4? Round your answer down to the nearest integer. Answer the questions in a paragraph response. Remove all questions and this note (but not the table) before submitting! Do not include R code in your report. 4. Multiple Regression: Create a multiple linear regression model to predict the murder rate using all important variables.  In general, how is a multiple linear regression model used to predict the response variable using predictor variables?  Report the P-value in a formatted table as shown below: Statistic Value P-value X.XXXX *Round off to 4 decimal places.  Based on the results of the overall p- value, is at least one of the predictors statistically significant in predicting the murder rate?  List all the important variables to predict the murder rate based on p-value.  Report and interpret the coefficient of determination.  What is the equation for your model?  What is the predicted murder rate based on your final multiple regression model (assume some random values for your variables)? Answer the questions in a paragraph response. Remove all questions and this note (but not the table) before submitting! Do not include R code in your report. 5. Conclusion Describe the results of the statistical analyses clearly, using proper descriptions of statistical terms and concepts. Fully describe what these results mean for your scenario.  Briefly summarize your findings in plain language.  What is the practical importance of the analyses that were performed?  What is the predicted murder rate for a state that has single.parent of 29? Round your answer down to the nearest integer.  What is the predicted murder rate for a state that has single.paren of 25.4? Round your answer down to the nearest integer. Answer the questions in a paragraph response. Remove all questions and this note (but not the table) before submitting! Do not include R code in your report. 4. Multiple Regression: Create a multiple linear regression model to predict the murder rate using all important variables.  In general, how is a multiple linear regression model used to predict the response variable using predictor variables?  Report the P-value in a formatted table as shown below: Statistic Value P-value X.XXXX *Round off to 4 decimal places.  Based on the results of the overall p- value, is at least one of the predictors statistically significant in predicting the murder rate?  List all the important variables to predict the murder rate based on p-value.  Report and interpret the coefficient of determination.  What is the equation for your model?  What is the predicted murder rate based on your final multiple regression model (assume some random values for your variables)? Answer the questions in a paragraph response. Remove all questions and this note (but not the table) before submitting! Do not include R code in your report. 5. Conclusion Describe the results of the statistical analyses clearly, using proper descriptions of statistical terms and concepts. Fully describe what these results mean for your scenario.  Briefly summarize your findings in plain language.  What is the practical importance of the analyses that were performed

Bid only if familiar with python. Follow the instructions and send back all the files needed with the running script.

i wrote the code but there are some errors when running the test file
I have done some correction,just need help finishing
could you please fix them. there is a readme file that gives you the overview of the project. only fix the grammarParserStudent file.

i wrote the code but there are some errors when running the test file
I have done some correction,just need help finishing
could you please fix them. there is a readme file that gives you the overview of the project. only fix the grammarParserStudent file.

i wrote the code but there are some errors when running the test file
could you please fix them. there is a readme file that gives you the overview of the project. only fix the grammarParserStudent file.

Deliverable:A Python file containing your code for your Rock, Paper, Scissors game
Assignment Notes
input should be used for prompting. It returns a string containing the user’s choice.
There is a string method called lower. It converts the string to all characters to lower case. Thus:
‘ABC’.lower() Þ ‘abc’
This might prove helpful for user input checking.
PLEASE USE THIS ASSIGNMENT ATTACHED AND COMPLETE THIS FOR ME 100 PERCENT. PROVIDE ME WITH EVERYTTHING NEEDED TO SUBMIT THIS TO MY COURSE. GOODLUCK

Description:
We will design a simple apps store. The purpose of this project is to demonstrate an
acceptable level of expertise with the fundamental procedural and object-oriented concepts,
Graphical User Interface (GUI) and data format (csv for this app) implementation techniques
introduced and refined in lectures and labs during the course of the semester

Description:
We will design a simple apps store. The purpose of this project is to demonstrate an
acceptable level of expertise with the fundamental procedural and object-oriented concepts,
Graphical User Interface (GUI) and data format (csv for this app) implementation techniques
introduced and refined in lectures and labs during the course of the semester