Assignment #2 EC1204 Economic Data Collection and Analysis Student No. 110393693 Part 1: Question 2 From analysing the Data on the Scatter Plot the relationship between the GDP and the Population of Great Britain from 1999-2009 appears to be a moderate positive correlation relationship. Both variables are increasing at a similar rate and following a similar pattern which would indicate this relationship. This relationship would tend to be a positive one as more people are available to the
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What is Correlational Research? The correlation research method is appropriate when researchers want to study and “assess relationships among naturally occurring variables.” Assessment means making predictions about the nature of the relationships being studied. It also means describing the relations and assigning them a “correlation coefficient” that describes the direction and magnitude of the movement of variables to one another. There are many types of correlational research. The commonality
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Problems on Regression and Correlation Prepared by: Dr. Elias Dabeet Q1. Dr. Green (a pediatrician) wanted to test if there is a correlation between the number of meals consumed by a child per day (X) and the child weight (Y). Included you will find a table containing the information on 5 of the children. Use the table to answer the following: Child Number of meals consumed per day (X) child weight (Y) X² Y² XY Ahmad 11 8 121 64 88 Ali 16 11 256 121 176 Osama 12 9 144
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Correlation and Regression Analysis : Comparison between Gold rates and Sensex Correlation : Correlation is a statistical technique that can show whether and how strongly pairs of variables are related. Correlation is computed into what is known as the correlation coefficient‚ which ranges between -1 and +1. Perfect positive correlation (a correlation co-efficient of +1) implies that as one security moves‚ either up or down‚ the other security will move in lockstep‚ in the same direction
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CONTENT BASED IMAGE RETRIEVAL USING COLOUR AND TEXTURE FEATURE EXTRACTION Abstract We propose a content-based image retrieval method based on an efficient combination of multiresolution color and texture features. As its color features‚ color auto correlograms of the hue and saturation component images in HSV color space are used. As its texture features‚ BDIP and BVLC moments of the value component image are adopted. The color and texture features are extracted in multiresolution
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SD Statistical Calculations REG Population Standard Deviation (σn) = 1.316956719 Arithmetic Mean (o) = 53.375 Number of Data (n) = 8 SD Standard Deviation Sum of Values (Σx) = 427 Sum of Squares of Values (Σx 2 ) = 22805 Use the F key to enter the SD Mode when you want to perform statistical calculations using standard deviation. SD .................................... F 2 (fx-95MS) F F 1 (Other Models) • Always start data input with A B 1 (Scl) = to clear statistical
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Q1 In a test given to 500 students‚ the average marks was 56 and the standard deviation was 20. Find (i) the number of students exceeding a score of 60. (ii) the number of students having marks between 50 and 70. (iii) the value of marks exceeded by the top 100 students. Answer-------- (i) number of students exceeding a score of 60=210 (ii) The number of students having marks between 50 and 70=188 (iii) The value of marks exceeded by the top 100 students=73 Q2. Following
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2.4 Six minute walking test: Six minute walk test was developed in 1963 by Balke to evaluate functional capacity. Different variations of the timed walk have been tested‚ and the six minute timed walk was recommended given its reproducibility and ease of administration compared to longer timed tests. A functional test might be a more valuable tool& cost effective (Nixon et al.‚ 1992) for measuring cardio respiratory fitness in the population and detecting change in cardio respiratory fitness. One
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The Market pairs depicted in all three figures all seem to follow similar stochastic trends with price series that do not drift too far apart for each market pair indicating price co-movement. Indeed‚ the bivariate correlation coefficient included in Table 7 in the appendix shows that the price series are highly correlated and that the correlation is invariant to distance. In addition‚ observed price Spikes are common to all markets and can be observed around the years 2001‚ 2005‚ 2008 and 2014
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There are many factors and attitudes‚ which can have a major influence over an individual’s eating behaviour‚ such as mood‚ cultural factors or even their parents. Mood can have a major influence over an individual’s eating behaviour. It has been suggested that someone who over eats or under eats‚ may be suffering from Depression‚ and they use their eating behaviour as a way of masking their negative mood. It has also been shown that being in a low mood state can result in the desire to eat sweet
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