PLEASE NOTE: I only need the rstudio code and not any interpretations. This includes the code, tables and plots.

Modelling what determines the share of the population who can't afford healthy food using rstudio

a) Please model the share of the population whose food budget is below the cost of a healthy diet (who cannot afford a healthy diet) using R:

b) Include a minimum of 5 (five) explanatory variables in the regression equation and provide a scatter plot of your dependent and independent variables (5 scatter plots). Use OLS standard errors

(Provide a table with coefficients including p-values and scatter plots)

c) Test for heteroscedasticity in R using the Breusch-Pagan test. (Provide a table of results)

d) Present results from a) using HAC robust errors

e) Add regional dummies to the regression from a) and test the joint significance (Provide new regression table)

Here is a link to where the data can be downloaded (https://drive.google.com/file/d/1TtMK5bPQWHv6W0Ht_9RnX42JwhUvX7J4/view?usp=sharing)

Please include the code in your response.