Answer:
The answer is: Tim forgot to get a building permit
Explanation:
In order to convert a mobile home into real property, these conditions must be met:
- homeowner must obtain a building permit
- the mobile home must be attached to a permanent foundation
- homeowner must obtain a Certificate of Occupancy
- you must have a record stating that the mobile home has been attached to a permanent foundation
Tim complied with three out of the four requirements needed to convert his mobile home into real property, but he forgot the first step.
Answer:
$2,645,700
Explanation:
realized amount = cash received + assumed mortgage - points paid by seller - broker's commission = $1,763,800 + $1,058,280 - $105,828 - $70,552 = $2,645,700
The amount realized includes all the money received and any debts assumed by the buyer, minus any expenses paid by the seller that are related to the transaction.
Answer:
These are careers that are focused on running businesses.
Explanation:
The business management and administration career cluster are careers that are focused on the running of businesses. What it does is to help students prepare for effective and good careers on the processes of running good and productive businesses. It has several career pathways to follow in achieving this.
You did not finish the question, I cannot help you. If you repost this I will try and help you
Answer:
F. A linear model on Size accounts for 68.6% of the variation in home Price.
Explanation:
R-squared () is a statistical measure used in a regression model to describes the percentage or proportion of variance or variation in a dependent variable which is explained by or can be predicted from the independent variable of the model.
R-squared is also known the coefficient of determination.
In the question, the dependent variable is the price, while the independent variable is the size. That is why the aim is to determine the percentage or proportion of variance or variation of price of homes which is explained by or can be predicted from the size of homes.
Given the R-squared of 68%, the correct answer is option F which states that "a linear model on Size accounts for 68.6% of the variation in home Price". This implies that 68% variation in the price of home can be explained by or predicted from the size of home.
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