Transport characteristics of heavy metals in the soil-atmosphere-wheat system in farming areas and development of multiple linear regression predictive model. [PDF]
Deng Q +7 more
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Factors influencing the posterior cruciate ligament buckling phenomenon-a multiple linear regression analysis of bony and soft tissue structures of the knee joint. [PDF]
Zhang J +5 more
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A multiple linear regression analysis identifies factors associated with fear of cancer recurrence in postoperative patients with gastric cancer. [PDF]
Zhu X, Ren G, Wang J, Yan Y, Du X.
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Estimation of soil erodibility in Peninsular Malaysia: A case study using multiple linear regression and artificial neural networks. [PDF]
Rehman MA +4 more
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Predictive modelling of laser powder bed fusion of Fe-based nanocrystalline alloys based on experimental data using multiple linear regression analysis. [PDF]
Özden MG +4 more
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Impact of Thermosonication Treatment on Parsley Juice: Particle Swarm Algorithm (PSO), Multiple Linear Regression (MLR), and Response Surface Methodology (RSM). [PDF]
Dulger Altıner D +5 more
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Multiple criteria linear regression
European Journal of Operational Research, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Subhash C. Narula, John F. Wellington
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Chapters 13 and 14 examined in detail the simple regression model with one independent variable (such as amount of fertilizer) and one dependent variable (such as yield of corn). In many cases, however, more than one factor can affect the outcome under study. In addition to fertilizer, rainfall and temperature certainly influence the yield of corn.
Cheng-Few Lee, John C. Lee, Alice C. Lee
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In the previous chapter, we discussed situations where we had only one independent variable (X ) and evaluated its relationship with a dependent variable (Y ). This chapter goes beyond that and deals with the analysis of situations where we have more than one X (predictor) variable, using a technique called multiple regression.
Paul D. Berger +2 more
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