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 work. Question 3 The correlation relationship between the GDP and the Population represents a strong positive correlation at 0.897922049. This indicates that the two indicators have a close relationship
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DEPARTMENT OF BUSINESS ADMINISTRATION A TERM PAPER ON – IMPACT OF FINANCIAL LEVERAGE ON COST OF CAPITAL AND VALUATION OF FIRM: A STUDY OF CEMENT INDUSTRY NAME- DIPANNITA GHOSH DEPT- MBA ROLL- 11 INTRODUCTION In corporate finance‚ financing decisions has greater importance because the optimal capital structure can be created trough proper mix of finance. Corporate managers generally prefer borrowings over other means of financing. Management of a company has to be very careful while
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the hour in the exam will be spent on reading. Turning now to specific feedback on the exam questions‚ the first question asked students to report and interpret some correlation and logistic regression output from SPSS. Good answers described the various correlations between the study variables and OUTCOME (correlation coefficient‚ strength‚ direction and significance)‚ including an explanation of what each association meant in words. Most answers described the logistic regression findings
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query services. The model should be plausible in that it reflects the correlation of cache structures involved in the queries. Optimal pricing is achieved based on a dynamic pricing scheme that adapts to time changes. This paper proposes a novel price-demand model designed for a cloud cache and a dynamic pricing scheme for queries executed in the cloud cache. The pricing solution employs a novel method that estimates the correlations of the cache services in an time-efficient manner. The experimental
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hundred and sixty seven employees of commercial banks of Kohat‚ Pakistan. Data for the study were gathered through the administration of questionnaire. The data collected was subjected to appropriate statistical analysis using “Pearson Product Moment Correlation Coefficient and Analysis of Variance‚” all the findings were tested at 0.01 and 0.05 level of significance. The results obtained from the analysis showed that there existed strong relationship between rewards and employee motivation in commercial
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Effects of degree of rotation 012687 University of Nottingham Malaysia Campus Abstract The following study does a replication of Cooper and Shepard’s (1973) study on mental rotation using rotated and normal stimulus. The study investigated the effects of degree of rotation of the stimulus on the time taken (RT) for participants to distinguish between inversed stimuli and non-inversed stimuli. In the following study‚ we used 2 normal stimuli and 2 inversed of the normal stimuli‚ and applied
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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 )}〗 Var(R_(ICE CREAM) )= .5 x (-.02- .09)^(2 )+ .5 x (.20- .09)^2= .0121 Var(R_FRISBEES )= .5 x (.06- .09)^(2 )+ .5 x (.12- .09)^2= .0009 Var(R_UMBRELLAS )= .5 x (.15- .09)^(2 )+ .5 x (.03- .09)^2= .0036 B.) The covariances and correlations for the returns on the two investment alternatives described are as follows: 〖〖Covariance〗_(ICE CREAM‚FRISBEES)=σ〗_R1‚2= ∑_(i=1)^n▒〖{P_(i ) [(R_(1‚i )–E[R_1 〗])([R_(2‚i )–E[R_2 ])} 〖Covariance〗_(ICE CREAM‚FRISBEES)={.5[(-.02- .09)(.06-.09)+(
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A Theoretical Model investigating the ability of perfectionism‚ organisation‚ self-efficacy‚ financial state and efficiency in predicting stress within students. Abstract: This was a cross-sectional study that investigated the phenomenon of stress within students. The study investigated five factors; perfectionism‚ organisation‚ self-efficacy‚ financial state and efficiency‚ to determine whether they were potential predictors of stress. The study was completed through an online survey with a
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Introduction Let me tell you a little story. Randy‚ who works for Gunderson as an equipment designer‚ is an unhappy employee. He has worked for Gunderson for 16 years‚ first starting out as a AutoCAD designer‚ drawing freight trains for manufacturing‚ and moving into an equipment designer position‚ designing braking systems for freight trains. He has been unhappy in his job for the whole time because of the divide that he feels with his boss. He doesn ’t have a university degree‚ and his boss respects
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