Context & Research Question - Briefly explain your context and the key question you want to find an answer to. If there's a problem statement, you are welcome to mention that as well. Hypotheses - Null and alternate. Null is basically predicting no relationship, and the alternate asks for a direction of the relationship. Dataset - Describe your dataset, including variable names and definitions. Python code itself - For importing, loading, checking info, basic descriptive stats, and simple and multiple linear regression models. Analysis - Please add about 3-4 bullet points for each analysis section. For the MLR analysis towards the end, you may need to double the bullet points for your analysis to 5-6 since there's a lot of information on that one table to analyze. Conclusion - Summarize your findings briefly, i.e., did you reject your null hypotheses? Also, please include the limitations of your work and next steps.

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Write each paragraph and write consulusion?