Statistics - Regression Projects

Develop a correlation matrix for the measurement variables in the Bears file. Develop a linear predictive

  1. Develop a correlation matrix for the measurement variables in the Bears file.
  2. Develop a linear predictive equation to predict weight based on the variable that is the most correlated with weight. Type this equation on your output page right below the title of the output REGRESSION.
  3. Develop the descriptive statistics for weights of male and female bears individually.
  4. Assuming the weights of female bears (sex=2) are normally distributed, test the hypothesis that the mean weight for the female bears is less than 155lbs. On the title page for this problem discuss your results based on the output for the problem. Be sure to explain ‘why’ you are making this decision.
Price: $10.03
Solution: The downloadable solution consists of 7 pages, 303 words and 10 charts.
Deliverable: Word Document



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