Writing code on R studio, and submit in “html

This assignment is for writing code on R studio, and submit in “html”

I will pay exactly what i am saying , don’t add more reward. If you can handle some type questions like those statistic problems, I will choose you for long term. be honestly, be friendly.

Problem 1
The article “Multiple Linear Regression for Lake Ice and Lake Temperature Characteristics” by Gao & Stefan (1999) presents data on the maximum ice thickness in mm (Thickness), average number of days per year of ice cover (DaysIceCover), average number of days the low temperature is below 8 degrees centrigrade (DaysLessThan8) and the average snow depth in mm (AvgSnowdepth) for 13 lakes in Minnesota. The data are in the file iceThickness.csvPreview the document.

  1. Construct a scatterplot matrix for the variables in this data. Describe/discuss the four variables of the dataset and any suspected relationships you may see.
  2. Fit a multiple regression model where Thickness is the response variable and the other three variables are predictors
  3. Assess the underlying assumptions for the model you fit in 2.
  4. Does the model (collectively) significantly predict the thickness of the ice? (Justify by referencing specific output).
  5. What percent of the variable in ice thickness is explained by the model? (reference specific output)
  6. Answer the question: Do lakes with greater average snow depth tend to have greater or lesser maximum ice thickness?
    In addressing this question please explain your rationale and any limitations/caveats in your response.
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