Answer:
Lessee's Entries:
Rent expense (Dr.) $45,500
Cash (Cr.) $45,500
Lessor's Entries:
1. Property Tax expense (Dr.) $2,000
Maintenance and Repair Expense (Dr.) $650
Insurance Expense (Dr.) $500
Accounts Payable (Cr.) $3,150
2. Depreciation Expense (Dr.) $ 29,285
Accumulated Depreciation (Cr.) $29,285
3.Cash (Dr.) $45,500
Rent Revenue (Cr.) $45,500
Explanation:
The lease is considered as an operating lease as it does not have bargain purchase option and renewal options. The property ownership is not transferred in this lease.
Depreciation expense:
[ Cost - Salvage Value ] / 7
220,000 - 15000 / 7
Answer:
C. Real Estate Fraud Prosecution Trust Fund.
Explanation:
The motive of creating the Real Estate Fraud Prosecution Trust Fund was to distribute the dedicated funds for the prosecution relating to the real estate fraud within San Francisco.
According to the Section 27388 of California Government Code an amount of $2.00 per every real estate instrument recorded is to be collected by counties and placed in a Real Estate Prosecution Trust Fund.
<span>This is a cashier's cheque. Cheque is an order to a bank to pay a particular amount from the account of an account holder. It is a printed matter. Cashier's cheque is a form of cheque which is guaranteed by the bank. It is drawn on the bank's account and signed by the cashier. It is done for real estate and brokerage transactions.</span>
Answer:
Cross Sectional Quasi-Experiment
Explanation:
Based on the information provided within the question it can be said that the type of design that Bart is using in this scenario is a Cross Sectional Quasi-Experiment. This is a type of experiment in which two or more different types of groups are compared at the same time in order to analyze the results and come to a conclusion of the experimental variable that is being researched. Which in this case would be "who has better reaction time.".
Qualitative forecasting model is a subjective technique based on opinions, judgement, emotions and personal experiences of consumers, used to forecast future data as a past function. This method does not rely on any mathematical computations or calculations. It is mainly used when a situation is vague or little data exists about a new product or technology.
