Answer:
2. deforestation
Explanation:
Forestry can be defined as the art and science of creating, development, management, conservation and analysis of the living organisms such as plants, trees and woodlands existing in the forest. This is usually done so as to tap into the environmental benefits associated with the forests and to ensure the continuous existence of wildlife, plant growth and development.
Forest Management is a branch of forestry. The field of forest management typically deals with legal, administrative, financial, economical, technical and social aspects of a forest so as to facilitate the smooth running and operation of the forest reserve.
Hence, when an entire forest is cut down to build roads or buildings, it is called deforestation.
Answer:
<h3>A) task-oriented approach.</h3>
Explanation:
Job analysis deals with the practice of examining and identifying the importance and duties of a particular job. Task-oriented approach of job analysis aims at sorting out the actual activities involved in a particular job.
This approach seeks to focus on the main duties and activities which are performed in a job. Through task-oriented approach, individuals may develop an understanding of their duties and actions that are suppose to be done while performing a particular job.
Pamela focuses on describing the various tasks like driving a car to a delivery address and giving customers the correct change involves task-oriented approach of job analysis.
27. The President can influence policy making in all of the following ways except:
A. Controlling the military
The President heads the military as a civilian “Commander in Chief” avoiding a military general seizing the government.
28. As chief of party, the President:
B. appoints party leaders
For an example he can choose a party leader to serve in the Cabinet.
Multiple regression is Anthony Perez's main statistical approach for managing revenue at the Orlando Magic.
Multiple Linear Regression: What Is It?
A number of explanatory variables are combined in a statistical process called multiple linear regression (MLR), also referred to as multiple regression. Modeling the linear relationship between the explanatory (independent) factors and response (dependent) variables is the aim of multiple linear regression. Because multiple regression takes into account several explanatory variables, it can be thought of as an extension of ordinary least-squares (OLS) regression.
A single dependent variable and several independent variables can be analyzed using the statistical technique known as multiple regression.
to know more about Multiple Linear Regression
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