Archive for month: September, 2020

what would be the appropriate corrective action for the following issue: as part of your program, a major training exercise is scheduled to take place that will use handheld radios. three months before the training exercise, planners discover strong interference signals in the area that prevent the radios from operating. they looked at eliminating the risk by taking an alternate path to uses different radios that do not operate in the same frequency bands.

-ignore

-avoid

-transfer

-control

Myra is a long-term investor and generally makes substantial capital gains on the sale of shares listed on the ASX. By 10 June 2016, Myra had sold some shares where she had made capital gains of $90,000. However, due to the downturn in the stock market, the market value of her FNB Bank shares was less than their cost. On 15 June 2016, Myra had a meeting with her financial adviser, Mat, who suggested to her that she sell some of her FNB Bank shares and trigger capital losses to offset against the capital gains already derived in the current year. Myra felt that the FNB Bank shares were a good long term investment, but she was happy to take Mat’s advice and sell the FNB Bank shares on 20 June 2016, and the losses triggered on that disposal offset the $90,000 capital gains already generated in the year. Myra intends to acquire more FNB Bank shares soon after 30 June 2016.

Required

Advise Myra on any important tax implications associated with the above transactions. 

Consider the following chemical equilibrium:

4A(s) + 3B(g) ⇄ 4C(s) + 2D(g)

If the initial pressure of B is 3.24 bar, the total pressure at equilibrium is 2.91 bar. Use these pressures to calculate Keq.

Suppose the RESET test rejects its null hypothesis. What should you do?

A Continue with the original model you have

B Add to the model the squares and cubes of all explanatory variables in the original model

C Work with the unrestricted model that was estimated for the RESET test.

D Search for appropriate nonlinear functions of the explanatory variables in the original model and add them as additional regressors.

A cable company would like to develop the ability to predict the monthly cable bill for a customer. A multiple regression model was developed using a random sample of customers using three independent variables. The independent variables are TV​ (the number of televisions in the​ household), People​ (the number of people living in the​ household), and Years​ (the number of years that the household has been a​ customer). Complete parts a through c below.