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Complete exercises q , q , , 1 1 . 1 2 q , You are going to skip 1 1 . 1 1 .

Complete exercises q,
q,,11.12q, You are going to skip 11.11. In 11.13, you will compare models built to address 11.10,11.12, and 11.13.
Submit your work as two attachments: (1)an HTML document containing all the code + associated explanations + outputs + your interpretation of the results, organized in a systematic way with appropriate sections and subsections, and (2) the .Rmd version of the file can be extracted, or directly as a .Rmd file.
Your submission should include an appropriate header that indicates the assignment number and week number, and include your name to appear prominently (consult this week's notebook and .Rmd files for reference). Ensure that your written responses have no issues of spelling and grammar that affect the clarity of your explanations. Also ensure that you partition the document into specific sections that map onto the specific exercise question numbers (e.g., have specific sections for 11.10,11,12., and so on).
Reference requirement:
Provide references to specific sections from the textbook and/or the lecture notes and/or lecture videos for your choice of priors and the rationale associated with your interpretation of results of your analyses.
Here is that You have to solve (will give you good rating if solved correct) :
Question:
Exercise 11.12(Penguins!3 predictors) Next, let's explore a model of body_mass_g by three predictors: flipper_length_mm , bill_length_mm , and bill_depth_mm . Do not use any interactions in this model.
a. Use to simulate the posterior for this model.
b. Use posterior_interval() to produce 95% credible intervals for the model parameters.
c. Based on these 95% credible intervals, when controlling for the other predictors in the model, which predictors have a significant positive association with body mass, which have significant negative association with body mass, and which have no significant association?
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