Author: Anonymous

Digestive System- “Big Question” (with many small parts).  Assume I am asking about an adult digestive system. A. Name two regions of the digestive tract where mechanical food breakdown processes are very important, are most impactful. B. Name two organs that are primarily food conduits (simple passageways). C. Name the organ where protein digestion is begun. D. Name the organ where fat digestion begins.E. Name the organ and region where the most absorption occurs.

The digestive function of the liver is to produce digestive enzymes.

The salivary glands, pancreas, and cecum are all examples of “accessory organs” of the digestive system.

Enteropeptidase ______________.

The lamina propria forms part of the

Question 3 Test of Equal Means – 4ptsA) State the Null and Alternative Hypotheses for the Test of Equal Means    B) What can you conclude from the ANOVA table with respect to the test of equal means at a significance level of 0.05 (FAIL TO REJECT or REJECT the null hypothesis)? Explain how you came to your conclusion.   C) Provide conclusions in the context of this problem.

Question 7 Confidence Intervals – 3ptsWhat are the bounds for a 99% confidence interval on the coefficient for Credit.Card.Debt?  Using this confidence interval, is the coefficient for Credit.Card.Debt plausibly equal to zero at this confidence level?  Explain.

Question 8 Residual Analysis – 10ptsPerform residual analysis on the lm.full model for the 4 assumptions. State whether the assumption holds and why you came to the conclusion.  

Question 12 – Predictions 4 – 3pts Using lm.full model, what is the predicted Car.Purchase.Amount and corresponding 90% prediction interval for a vehicle purchased in Mexico by a 45 year old female (0) with an annual salary of $65,000, Credit.Card.Debt of $2,000, and Net.Worth of $500,000?  Provide an interpretation of your results.  (Note: The data point has been provided. Ensure you are using lm.full not lm.red). 

Question 5 Exploratory Data Analysis Quantitative Variables – 4ptsNow consider the quantitative variables ONLY: Age, Annual.Salary, Credit.Card.Debt, and Net.Worth. Compute the correlation coefficients between each quantitative variables and also the response variable.  A) Which predicting variable has the best correlation with the response? B) Interpret the value of the best correlation coefficient in the context of the problem. Include strength (weak, moderate, strong) and direction (positive, negative).   C) Considering the predicting variables, does the correlation matrix show signs of multicollinearity? Explain how you came to your conclusion.