impact on the exchange rate of Indian economy. The data collected for the analysis is in the span of 10 years time interval. To find out the relation b/w the GDP‚ BOP & Inflation on the exchange rate of India the statistical measure Correlation & Multiple Correlation is used. To establish the linear relation b/w the exchange rate on the combined effect of BOP‚ GDP & Inflation Multiple regression has been used. The analysis states that there is significant relation b/w these factors. & there are linear
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GPA | 734 | 1 | 4 | 1.98 | .494 | .295 | .090 | 2.558 | .180 | FBT | 733 | 2 | 1801 | 134.86 | 147.321 | 5.467 | .090 | 45.778 | .180 | Valid N (listwise) | 733 | | | | | | | | | CORRELATIONS /VARIABLES=FBT StudentPreparationSP /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE. Correlations Notes | Output Created | 14-NOV-2012 14:19:14 | Comments | | Input | Active Dataset | DataSet1 | | Filter | <none> | | Weight | <none> | | Split File | <none>
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Chapter 13 Linear Regression and Correlation True/False 1. If a scatter diagram shows very little scatter about a straight line drawn through the plots‚ it indicates a rather weak correlation. Answer: False Difficulty: Easy Goal: 1 2. A scatter diagram is a chart that portrays the correlation between a dependent variable and an independent variable. Answer: True Difficulty: Easy Goal: 1 AACSB: AS 3. An economist is interested in predicting
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of Iran". Methodology: Descriptive-correlation method was used in this survey and the statistical population included employees of Customs headquarters equal to six-hundred seventy eight (678) persons. Sample volume was selected through random class sampling method that was equal to two-hundred fifty (250) persons. Questionnaire was used to collect the required data and data analysis was accomplished using inferential statistics tests such as Pierson correlation coefficient and step by step regression
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growth models. A large body of literature on economic growth tends to support the traditional Solow (1956) growth model and the “New Growth Models” of David Romer’s and others in which higher savings leads to higher growth. The debate over the correlation between saving and investment has been initiated by the work of Feldstein and Horioka (1980). Savings are the main source of funds to finance capital investment‚ while the share of total GDP that is devoted to investment in fixed assets is an important
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fitness. One of the first functional or field test measures described was a 12minute run (Cooper et al.‚ 1968) in which the Vo2max from a treadmill test was compared to the run data of 11 5 healthy US Air Force male officers and airmen. A high correlation (0.897)
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attachment‚ ADHD‚ child abuse‚ family‚ forensic contexts‚ parent–child interaction/observed behavior‚ premature termination/medical treatment adherence‚ social support‚ substance abuse‚ and parental depression. Correlations between the subscales on the PSI-3 and PSI-4 ranged from 0.85 to 0.99. Correlations were found to be higher between the Parent domain and its own subscales (r = 0.82‚ SD = 0.061) than between the Parent
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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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The closer absolute value of this number is to 1‚ the more correlation exists between the factor you have chosen to examine and the heart rate data. Go to http://www.danielsoper.com/statcalc/calculator.aspx?id=44 and enter the correlation coefficient along with the sample size of individuals used in your calculation. This will give you a probability of obtaining these results by chance (p-value).
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Dependent and Independent samples (tc and td) One-way analysis of variance (The F test uses variance as an index for the difference between two or more means.) (BG p. 174) Factorial Analysis of Variance (BG p.180) TOPIC 2 CORRELATIONAL DESIGN Correlation coefficient (BG p. 208) Regression analysis‚ testing Beta (BG p.221) Prediction and regression analysis (BG p. 235) Multiple regression analysis (BG p.245) TOPIC 3 FACTOR ANALYISIS (BG p. 268) Latent and manifest variable TOPIC 4 RESEARCH PROPOSAL
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