From Question 6, After you have accumulated $1,000,000, you plan to deplete the $1,000,000 by taking out or withdrawing an equal amount in the next twenty-five years.  If the interest rate stays at 8%, what is your annual withdrawal in equal amount?  [Do not type your answer in Canvas]

From Question 8, if an investor believes that the short-term interest rate one year from now is 1.8% and has the following two options:  Option A: 1 2-year investment, one investment with a maturity of two years Option B: 2 1-year investments, two investments with a maturity of one year Which option is better?  Explain.  [Do not type your answer in Canvas]

A sample of adults were randomly selected for a study on the relationship between annual income and having a credit card. Let the predictor be the annual income and the response be proportion of people having at least on card for the given level of income. Comment on each of the following diagnosis plots and explain a. which assumption can be checked by looking at the given plot, and b. whether or not the assumption is met. Residual plot  a. What  assumption can be checked by looking at the given plot? b. Is the assumption met? Type Y (for yes) or N (for no)

We want to create a model that looks at the association between diabetes and development of cardiovascular disease (CVD). The binary response of having  cardiovascular disease (CVD) or not is modeled using the binary predictor DIABETES (where category “diabetics” is compared to baseline category of “non-diabetics”).  A simple logistic regression analysis was performed in R. The following output is given. The coefficient estimate of the variable DIABETES is given below. Explain in detail what t he coefficient estimate of the variable DIABETES means (interpretation) using the words such as odds and odds ratio.

What is the benefit of using interactive Data Visualization?

A large, national grocery retailer tracks productivity and costs of its facilities closely. Data were obtained from a single distribution center for a one-year period. Each data point for each variable represents one week of activity. The variables included are the number of cases shipped (X1), the indirect costs of the total labor hours as a percentage (X2), a qualitative regressor called holiday that is coded 1 if the week has a holiday and 0 otherwise (X3), and the total labor hours (Y). Use the R output below to answer the following questions.  Using the output provided below, at significance level of 0.01, which of the three independent variables is/are significant? List only the significant variable(s).

What is the primary purpose of a data legend in Data Visualization?

Which of the following variables can be modeled using a Poisson distribution?

Which of the following is a variable selection technique based on shrinking coefficients to zero?

Which of the following is not a supervised learning algorithm?