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Multiple Regression Analysis; *Pharmaceutical

by L. Sedlacek, William E
"... Multiple regression analysis was used to examine scores on the Pharmacy College Admission Test (PCAT) and pre-pharmacy grade point averaaes (GPAs) as predictors of academic success in pharmacy school. Separate analyses were made for White (n=471), Black (n=54), and Asian (n=96) subgroups, as well as ..."
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Multiple regression analysis was used to examine scores on the Pharmacy College Admission Test (PCAT) and pre-pharmacy grade point averaaes (GPAs) as predictors of academic success in pharmacy school. Separate analyses were made for White (n=471), Black (n=54), and Asian (n=96) subgroups, as well

multiple regression analysis

by Miloš Madić, Miroslav Radovanović , 2012
"... Comparative modeling of CO2 laser cutting using ..."
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Comparative modeling of CO2 laser cutting using

Rationale for Using Multiple Regression Analysis with Complex Interferences

by M. H. Kroll, Ruth Chesler , 1991
"... Summary: Non-specificities and interferences may become complex when they involve the analyte as well as other interfering substances. These non-specificities and interferences are known as analyte-dependent and multi-interferent interferences. Multiple regression analysis has proven valuable in ana ..."
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Summary: Non-specificities and interferences may become complex when they involve the analyte as well as other interfering substances. These non-specificities and interferences are known as analyte-dependent and multi-interferent interferences. Multiple regression analysis has proven valuable

The Steps to Follow in a Multiple Regression Analysis

by unknown authors
"... Multiple regression analysis is the most powerful tool that is widely used, but also is one of the most abused statistical techniques (Mendenhall and Sincich 339). There are assumptions that need to be satisfied, statistical tests to determine the goodness fit of the data and accuracy of the model, ..."
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Multiple regression analysis is the most powerful tool that is widely used, but also is one of the most abused statistical techniques (Mendenhall and Sincich 339). There are assumptions that need to be satisfied, statistical tests to determine the goodness fit of the data and accuracy of the model

THE USE AND MISUSE OF FACTOR SCORES IN MULTIPLE REGRESSION ANALYSIS

by James S. Fleming
"... Kukuk and Baty (1979) have been critical of the use of factor scores as predictors in multiple regression analysis. The present paper, while in disagreement with certain of Kukuk and Baty’s conclusions, also finds the perfunctory use of factor scores in conjunction with regression analysis to be ina ..."
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Kukuk and Baty (1979) have been critical of the use of factor scores as predictors in multiple regression analysis. The present paper, while in disagreement with certain of Kukuk and Baty’s conclusions, also finds the perfunctory use of factor scores in conjunction with regression analysis

Multiple Regression Analysis; *Pred.,:tive Validity;

by unknown authors
"... The ability of the Medical College Admissions Test (MCAT) and undergr auate grade point average (GPA) to predict success in medical school was studied, and two complementary methods of cl:Itermining if the tests are biased against ethnic groups were examined. Data fro ':97 majority and 82 minor ..."
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multiple regression and the

Multiple Regression Analysis of the JRA-25 Monthly Temperature

by Junichi Tsutsui, Shinji Kadokura
"... Long-term global reanalysis of atmospheric observations generates a high-quality homogeneous climate data set using a fixed modern data assimilation system and quality-controlled comprehensive observations. Re-analysis products have been used for a wide variety of climate studies and applications. D ..."
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Long-term global reanalysis of atmospheric observations generates a high-quality homogeneous climate data set using a fixed modern data assimilation system and quality-controlled comprehensive observations. Re-analysis products have been used for a wide variety of climate studies and applications

countries: Multiple regression analysis of the cohort effects

by Hee Kyung Hong
"... education policy analysis archives A peer-reviewed, independent, open access, multilingual journal ..."
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education policy analysis archives A peer-reviewed, independent, open access, multilingual journal

Arc sensor model using multiple-regression analysis and

by Yongjae Kim, Sehun Rhee , 2004
"... a neural network ..."
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a neural network

Multiple Regression Analysis of IEEE 802.16j Relay Network Throughput

by unknown authors
"... Abstract—In IEEE 802.16j relay networks, time division mul-tiple access (TDMA) is adopted for sharing wireless network resources while avoiding radio wave interference. Time slot assignment determines the degree of spatial reuse of wireless network resources and radio interference strength, which af ..."
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affects network performance. The relay network performance is also influenced by various factors, such as background noise level, path loss exponent, density of relay nodes, and transmission signal strength. In this paper, we present the results of multiple regression analysis of IEEE 802.16j relay
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