Answer:
net revenue tends to increase.
Explanation:
unresponsive to changes in price of gasoline indicates that there will not be any impact on demand of gasoline whatever may be the change in the price.
Hence if gas station owner increases the price of gas, demand will remain same. Therefore, there will net rise in revenue for gas station.
Actually in such cases profit margin also increases as there is not any increase in production cost, per unit profit will increase as there is increase in per unit selling price. Hence it can be also concluded that net profit for gas station owner will also increase
Answer:
C. Many companies review pay during a performance appraisal.
Explanation:
Performance appraisals are usually ongoing through out the year where as annual reporting is done on it. It allows for better decisions by the management whether if to revise pay scales as per the improved performances of the employees. These appraisals may be used for identify training needs, pay reviews and promotional opportunities for employees.
Hope that helps.
In its most basic sense, Job satisfaction involves the positive feelings and evaluations individuals have about their employment.
<h3>What is Job satisfaction?</h3>
Job satisfaction serves as the joy and emotions that is positive that employee have about his work.
In this case, Job satisfaction involves the positive feelings and evaluations individuals have about their employment.
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Data that can be modeled as dimension attributes and measure attributes are called <u>_Multi-dimensional__</u> data.
Multi-dimensional data are the data that can be modeled as dimension and measure attributes. It is a data set that has many columns, which is also known as features or attributes. The more features or attributes in the mult-dimensional data set can help you to discover more insights. In the multi-dimensional data, you can integrate queries instead of submitting the queries as in the relational database.
In the multi-dimensional data set you can manipulate different perspective and dimension by features or attributes. Multi-dimensional data modeling can dig deeper for deriving insights than the two-dimensional relational data set. It can view the data in the form of a data cube. Data cube can be modeled and viewed as in multiple dimensions.
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