The throw with the fastest ball velocity was chosen to study. Ball velocity was determined by watching a video of the throw‚ and by dividing the distance of the neutral area by the time. The phases of movement were found by 2-D video. A Pearson correlation was used to determine if there was a relationship between the time spent in each phase of movement and ball velocity. What was found? [Steps 9 &10] A total of three phases of
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Chapter 13 Problems (2‚ 9‚ 11‚ & 14) 2) Determine the coefficient of correlation and the coefficient of determination. Interpret the association between X and Y. X Y x^2 xy 5 13 25 65 3 15 9 45 6 7 36 42 3 12 9 36 4 13 16 52 4 11 16 44 6 9 36 54 8 5 64 40 39 85 211 378 r = (378) - (39)(85) / 8 = -36.375 √[211 - (39)^2 / 8] *
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1 In this assignment‚ I am to graph‚ report‚ and giving an explanation of the correlation between the data that was given. The data that I am to graph are between the variables of the number of hours study and the exam scores. The linear correlation coefficient and the linear regression equation produced from the Excel spreadsheet are f(x) = 1.5607693309x + 55.769550074 with the Pearson ’s r value of
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biology interest among ASASIPINTAR STUDENTS | A MINI PROJECT REPORT | Submitted by 1. AHMAD SYAZWAN BIN SUHAIMI AP00161 2. IZZATY SHAIMA BINTI SHAMSUDIN AP00164 3. MUHAMMAD FAIZUAN BIN AMINUDDIN AP00159 4. SITI NABILA AMIRA BINTI SAMSUDIN AP00158 | Submitted toMiss Noraniza Binti IbrahimSTATISTICS (PNAP0154)ASASIpintarPUSAT PERMATApintarTM NEGARAUNIVERSITI KEBANGSAAN MALAYSIA (UKM)APRIL 2013 | Table of Contents Content | Page |
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Ashby.‚ 2001) to test the correlation between the two. Those who experienced higher in the subscales of perfectionism showed a greater experience in depression than those who scored lower on the perfectionism scales. This indicated a significant correlation between all subscales of perfectionism and depression. This study aims to concentrate primarily on the discrepancy subscale‚ which shows a very strong correlation with depression through the spearman rho correlation. Introduction Depression
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Operations and Finance to investigate on this issue and to know whether there was a direct relationship between average fleet age and direct engine maintenance costs. II. STATEMENT OF THE PROBLEM Peg Jones must be able to determine if there was a correlation between the average fleet and the maintenance cost. She must also find out if the average fleet age is related to the direct engine machine costs. Jones must be able to provide his findings to Stephen Ruth‚ who is the new president and chairman
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REVIEW ON JOURNAL ARTICLE: THE RELATIONSHIPS AMONG CROSS-CULTURAL MANAGEMENT‚ LEARNING ORGANIZATION‚ AND ORGANIZATIONAL PERFORMANCE IN MULTINATIONALS Chich-Jen Shieh‚ I.-M. W.-J. (2009). The relationships among cross-cultural management‚ learning organization‚ and organizational performance in multinationals. Social Behavior and Personality ‚ 37(1)‚ 15-30. This paper written by (Chich-Jen Shieh‚ 2009) emphasize on the relationship among cross- cultural management‚ learning organization and
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and fatigue index (%). When the peak power and fatigue index were considered together for endurance athletes‚ a significant relationship existed‚ but when peak power and fatigue index were considered together for power athletes‚ no significant correlation existed. As a result‚ this study indicated that peak power and fatigue index had a significant relationship in endurance athletes but there was no significant relationship in power athletes. INTRODUCTION The Wingate Test is a maximal intensity
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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. Droughts in 2001 and 2005 explain
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19 | 6.4 | 20 | 9.2 | 6 | 1.2 | 20 | 8.6 | 22 | 9.8 | 1 | 0 | 2. Age vs Appearance- The younger respondents gave low ratings on the product’s appearance while the older ones rate it high. The correlation coefficient is 0.942251661‚ having a very high relationship. They have a strong relationship because
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