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1. For this question, we will use the cornnit data set from the faraway package. Be sure to install and load the faraway package first, and then load the data set. The data explore the relationship between corn yield (bushels per acre) and nitrogen (pounds per acre) fertilizer application in a study carried out in Wisconsin. (a) What is the response variable and predictor for this study? Create a scatterplot of the data, and interpret the scatterplot. (b) Fit a linear regression without any transformations. Create the corresponding residual plot. Based only on the residual plot, what transformation will you consider first? Be sure to explain your reason. (c) Create a Box Cox plot for the profile loglikelihoods. How does this plot aid in your data transformation? (d) Perform the necessary transformation to the data. Re fit the regression with the transformed variable(s) and assess the regression assumptions. You may have to apply transformations a number of times. Be sure to explain the reason be- hind each of your transformations. Perform the needed transformations until the regression assumptions are met. What is the regression equation that you will use? Note: in part 2d, there are a number of solutions that will work. You must clearly document your reasons for each of your transformations.
Project ID: 30606757

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6 freelancers are bidding on average $25 USD for this job
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R PROGRAMMING EXPERT , I am best in statistics, R programming analysis of data, SPSS, STATA, MINITAB, R language, Forecasting, Statistical Quality Control, Spatial Data Analysis, Structural Equation Modeling, generating R scripts, R analysis and reports message me for high quality work and in time, looking forward to work with you
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hi, i'm data scientist and expert in R and statistics. i can help you in this project. write me and talk me about the details.
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Hello I have Masters degree in Financial Economics. I also have 1.5 years of research experience working as a research associate (in the field of applied econometrics and statistics). As a part of the job I have handled large datasets using R and EViews and have applied techniques to clean data and then used it for modelling purpose. This was supported by a full a report with the detailed analysis. I have also worked on several projects that required doing analysis on different kinds of regression models (basic and time series on SPSS) and have also used various statistical techniques like hypothesis testing, RMSE, RRMSE etc. I am quite well versed with R and STATA, doing the analysis and presenting the same to clients. Apart from that, I have also done many projects as a freelancer using Excel, SPSS and R software on time series and other related topics. I’m highly proficient in Statistics, SPSS, Econometrics, R, Excel etc.I feel this is a very suitable proposal for me considering my qualifications and work experience. Please feel free to message me in case you have any further queries. I have worked before on farway package. Please visit my profile to see the work done by me. Thank you
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Hi I have good programming experience in excel R and SPSS , I will provide you quality work according to your instructions ..
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Hello, I offer quality data analysis and data visualization with R. I have strong knowledge of R data science packages and experience with regression analysis, and fitting statistical models to data with R. Thanks, Galyna
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