Answer:
left as well as the contractionary monetary policy, then bring about the
increase of interest rate as well as reducing equilibrium quantity of money.
Explanation:
Liquidity Preference model can be regarded as a model gives suggestions about investor and interest rate, the model entails that high interest rate as well as premium on securities associated with long-term maturities with higher risk should be demanded by investors, reason behind this suggestions is that most investors will always go for cash as well as available highly liquid holdings, all things been equal. It should be noted that Using the liquidity-preference model, the Federal Reserve can react to the threat of exceedingly high inflation via monetary policy by shifting the supply of money to the left as well as the contractionary monetary policy, then bring about the increase of interest rate as well as reducing equilibrium quantity of money.
Answer:
They should identify the critical processes that are to be redesigned.
Explanation:
Business process management focuses mainly on activities which is directed toward improving the company performance. It involves critically analysing, evaluating and improving various business processes.
Examples of business management tools include: Zoho creator, Pega platform, Bonita Bpm, Processmaker. These various tools helps to cut down different costs, build a stronger customer interaction, helps to develop an edge against competitors, reduce inefficiency among enployees, ensure smooth running of the organisation.
People skills
if you dont have people skills you wont be able to properly care for the customer
An example of a study that has a false correlation caused by a lurking variable is " research scientist examines the influence of diet and exercise on a an individual's blood pressure."
<h3>What is a lurking variable in a study?</h3>
Lurking variable is known to be a kind of a variable that is said not be the explanatory variable nor can it be called the response variable but it is one that is seen to have a relationship (e.g. correlation) with the response and that of the explanatory variable.
Note that A lurking variable is one that can be falsely identify as a strong relationship that exist between variables or it is one that often hide the true relationship.
Hence, An example of a study that has a false correlation caused by a lurking variable is " research scientist examines the influence of diet and exercise on a an individual's blood pressure."
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