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Statistics: Multilinear regression

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Using the attached documents:

a. Summarize the key facts of the case including a description of the dataset (number of cases, what the independent variables are and what the dependent variable is, whether the data are a sample or a population.
b. Describe in very plain language the descriptive and inferential analytical techniques you will use to analyze the data.
c. Describe any potential limitations to your analysis, such as any data anomalies you have detected and how you intend to treat them in your analysis.

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Solution Summary

Regression: Hypothesis Testing, Regression analysis, intercepts, coefficients, p value are examined.

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  • PhD (IP), Stony Brook
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