If you hate your current job, you should say so in your interview for a job in industry because you will get credit for being direct and forthright.

Answer each question in one line Which one has a better regression fit line? Which one has the lower Sum of Squares Error (SSE) Which one is a better model at predicting values?

A correlation coefficient of +1 is observed between height and weight in a dataset of adults. What does this indicate?

The expected return of stock S is 0.07, the expected return of stock B is 0.08, and the risk-free rate is 0.02.  The var-cov matrix of S and B:             |       S               B             S |     0.2                            B |     0.06         0.3 a.  Calculate the Sharpe ratio of MVP.  b.  Calculate the Sharpe ratio of optimal risky portfolio O.  c.  An investor invested $8,500 of the complete portfolio in the optimal risky portfolio O and $1,500 in T-bills.  Calculate the Sharpe ratio of this complete portfolio.

Given the following returns: Year      Stock X      Market index    1          -0.36            -0.29    2          -0.25             0.41    3          -0.14             0.09    a.  Calculate the beta of stock X.  b.  Calculate the alpha of stock X.  c.  Calculate the error terms of stock X.  d.  Calculate the systematic risk of stock X.  e.  Calculate the unsystematic risk of stock X.  f.  Is stock X a good stock to consider for inclusion in a portfolio?  Explain.  g.  Write out the var-cov matrix of stock X and market index. 

Exponentiating a coefficient in logistic regression helps you obtain:

 Why is the proportional hazards assumption important in Cox regression?

A health researcher analyzes the association between time spent in physical therapy (in hours) and improvement score (on a 5-point ordinal scale). For this type of data, the most appropriate correlation test is:

In a Business Purchase Agreement, this section/clause provides both the buyer and seller a procedure and means to address any sort of dispute that may transpire as a result of the transaction.

The value predicted by logistic regression always lies within: