Estimating a Multiple Regression Model for GCC countries- The impact Research Paper

Estimating a Multiple Regression Model for GCC countries- The impact of Exports and FDI (Foreign Direct investment) on GDP in Saudi Arabia (1990- 2013) - Research Paper Example In addition, government expenditure also contributes to the management of the GDP of an economy. Following the topic selected that relates the exports and foreign direct investment aspects of Saudi Arabia, one learns that foreign aspect play a role in shaping the different economies. Considering the Saudi Arabian economy, much of its activities have survived on the aspects of export especially of petroleum products and foreign trade that have seen the economy grow its GDP to reasonable grounds making its economy grow to the advantage of the people (Taylor & Francis Group, 2003). The economy being sustained by exports and foreign income that is raised through the foreign direct investments proves stable in the sense that it can sustain the pressure that the foreign currency exerts on its local currency. Through these, the economy survives various economic challenges as a result of having many economic activities to rely on in streaming in revenue. In trying to understand economic development of any country, these aspects of economic essence need considering that will guide the economy to growth. The details of the paper below discuss the different effects that the export aspects and FDI as two independent variables have on the GDP of an economy. The economy much relies on the two variables as per the subject as a dependent variable. This study devises a regression model that will indicate the relationship between the three variables and any variance aspects, standard errors and other statistical explanations of the results. The data collected indicates the relationship between the three variables that is exports, FDI and GDP of the Saudi Arabian economy. These provide a relationship that describes the different effects that changes to one variable will have to the economy. Understanding the different variables helps one understand the positive or negative nature of their influence to the GDP and the general economy of Saudi

Biomechnics lab report Essay Example | Topics and Well Written Essays - 1500 words

Biomechnics lab report - Essay Example The change in the horizontal velocity during the braking, propulsive and stance phase are calculated. In the results the changes are summarized and the variables are presented in relation to the body weight of the individual rather than in Newtons. The discussion includes the explanation of the general pattern of the Fz- and Fy- time traces an dthe change in magnitude of the Ground Reaction Force (GRF) variables between each running speed. The paper aims to investigate the effect of increasing running speed on ground reaction force (GRF) related variables. According to the Newton’s Law of Gravitation, any two objects with masses attract each other and the magnitude of this attracting force is proportional to the product of the masses and inversely proportional to the square of the distance. The gravitational force acted upon an object by the earth is called gravity or weight of the object. Since we always have contact with the ground due to this gravity there is always an interaction between our bodies and the ground. The reaction from the ground is called the Ground Reaction Force (GRF). The GRF is important external force acting upon the human body in motion. This force is used as propulsion to initiate and control the movement. A single male weighing 74kg uninjured participant was subjected to an exercise to determine the ground reaction force. Following habituation, GRF was recorded while he was running across the Kistler Force Plate five times at 3, 4 and 5 m-s-1 10% . Following each trial during the laboratory session, a MS-Excel spreadsheet containing Fz (i.e the vertical component of GRF) and the Fy (i.e. the anterior-posterior component of GRF) versus time data and the braking and propulsive impulse were produced. From this raw data, we will need to obtain the magnitude of the following GRF related variables (shown in fig. 1) for each trial. Calculation of the changes in horizontal velocity during the braking