The main objective of this research was the reality of irrigated olive
cultivation and analysis of production costs in the eastern region of the
province of Homs and identify the most important influence on profit
productive elements, The initial
field data collection of 2014 and 2015.
The real estate valuation is the process of estimating the real estate
price based on the real estate description and property features .
The aim of this research is to define the main variables and study
their effects on defining the price of the
residential real estates in
Damascus, hence to build a mathematical model based on Multiple
Regression Analysis method for the valuation of these Real Estates
Data on 130 residential real estates in Damascus were collected
and analyzed using the SPSS package .
The Analyses have revealed that it is possible to rely on the
Multiple Regression Analyses model to estimate the price of the
real estate but only after defining and testing its shortcomings and
transforming the model into Multiple – Non linear Regression
model .
This research concluded that the relationship between the price of
the real estate and the studied variables is nonlinear .
This research aims to investigate the impact of fluctuations in the
exchange rate of the Syrian pound on the general index of the prices
of shares of companies listed in the Damascus Securities Exchange,
and clarify the type of relationship betwee
n these fluctuations and
general share price index,using the linear regression models simple
and multiple, and vector autoregressive (VAR) model of error
correction (VECM) and Granger causality to test the relationship
between the exchange rate and the general share price index in the
Damascus Securities Exchange for the period 2011-2015.
The research aims to study the effects of the climatic elements, rain, dry heat and drought on
wheat and barley production (irrigated and rain-fed) in al-Hasakah station in the Eastern Province,
In order to achieve the objectives of the research a
series of pen'ds of time extending from 2001 to
2010, was adopted Based on the indexes, rates growth and multiple regression the most important
results were as the Following, relation:
1- There is a very strong and statistically significant between the irrigated wheat production
and rainfall, dry heat and drought index, wch was the most influential, effed followed by
precipitation drought index, and by dry heat.
2- There is no statistically significant relationship between rain-Fed wheat production and
rainfall dry heat or drought index.
3- There is a strong and statistically significant relationship between the production of
irrigated barley and rainfall, dry heat and drought index, The most influential effed was drought
index, followed by dry heat, and precipitation.
4- There is no statistically significant relationship between the production of rain-Fed barley
and rainfall and dry heat or drought index.
