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Youbin Zheng and Mary Jane Clark

Dolime Spray Lime, Genoa, OH) was added at rates pre-determined by regression analysis following laboratory titrations (data not shown). To reduce experimental error in this study, rates of hydrated lime were separately incorporated into pre

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Filippo Sgroi, Enrica Donia, Mário Franco, and Angelo Marcello Mineo

2014. After that, the average profit/loss of companies was taken into consideration. Data analysis. A regression analysis was used to explain the existing relation between a variable Y , called a response variable, and one or more variables called

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Yang Chen, Xianzhi Zhou, Yongsheng Lin, and Lina Ma

N > K > P. The experimental design based on the “3414” scheme exhibited several advantages, including less regression, optimal design, high efficiency, high comparability, and ease of demonstration and promotion. These merits satisfy the professional

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Clinton C. Shock, Erik B.G. Feibert, Alicia Rivera, Lamont D. Saunders, Nancy Shaw, and Francis F. Kilkenny

of the four-row plots. The seed was cleaned from stalks and chaff and weighed. Seed yield responses to irrigation were evaluated by linear and quadratic regression. Seed yield for each species each year was regressed separately against 1) applied

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Clinton C. Shock, Erik B.G. Feibert, Alicia Rivera, Lamont D. Saunders, Nancy Shaw, and Francis F. Kilkenny

evaluated by linear and quadratic regression. Seed yield for each species each year was regressed separately against 1) applied water; 2) applied water plus spring precipitation; 3) applied water plus winter and spring precipitation; and 4) applied water

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Qiang Zhu, Yuncong C. Li, Rao S. Mylavarapu, Kelly Morgan, and Mingjian Geng

P < 0.05 and a greater coefficient of determination ( r 2 ). A multiple regression model [Relative yield = a + (b × STP) + (c × P rate) + (d × STP 2 ) + (e × P rate 2 ) + (f × STP × P rate)] was carried out to calibrate P rates ( Slaton et al., 2009

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M.R. Gorham, T.M. Waliczek, A. Snelgrove, and J.M. Zajicek

statistically using paired t tests. Additionally, a linear regression analysis was performed to determine if the presence of a community garden could predict greater or lesser numbers of reported property crimes. Results Community garden background information

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Tanya J. Hall, Jennifer H. Dennis, Roberto G. Lopez, and Maria I. Marshall

regression was used to regress the dependent variable, y, of whether the grower had adopted sustainable practices, against the estimated factors affecting adoption of sustainable practices variables ( Liao, 1994 ). The parameter estimates (β) predict the

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M. Leonard Wells and Bruce W. Wood

spacing. As a result, the data from 1970 to 1971 is excluded from the optimum yield data. Data were analyzed by stepwise linear regression using the forward elimination procedure. Curvilinear regression was also used to test for nonlinear relationships of

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Julián Miralles-Crespo, María J. Sánchez-Blanco, Alejandra Navarro G., Juan J. Martínez-Sánchez, Jose A. Franco L., and Sebastián Bañón A.

indicate differences between treatments. Regression analyses were also determined between SDV indices and daily plant ET and Ψ leaf . The statistical analysis was performed using Statgraphics Plus 5.1 software and the regression analysis was performed using