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Linear regression analysis

Xem 1-10 trên 10 kết quả Linear regression analysis
  • Results show that, according to the linear regression analysis, regional annual rainfall is not much fluctuated, the rainy season and annual rainfall tend to decrease, while rainfall in the dry season tends to increase. According to Sen’s slope chart, July rain gains highest increasement, while that of August tends to decrease most. In general, the precipitation concentration index revealed the presence of a high and very high concentration of rainfall.

    pdf11p meyerowitz 25-12-2021 15 0   Download

  • This research investigates the relationship between microeconomic, macroeconomic variables and number of cars sold in US. The main objective is to determine the factors that affecting the number of car sold in US. This research covers the time period from 1975 to 1990. The analysis methods that have been applied in this study include descriptive statistics, linear regression and correlation analysis.

    doc36p daothikimlinh 25-02-2021 31 9   Download

  • Phytoplankton which can affect higher trophic levels play a pivotal role as primary producers. Phytoplankton structure and diversity may, besides other factors, be controlled by the changing of water temperatures. Hence, the present study aimed to determine some relationship between phytoplankton assemblage and water temperature in Ba Lai River, Vietnam.

    pdf12p larachdumlanat127 02-01-2021 12 1   Download

  • In addition to the economic development goals and viewpoints of Party and the State, the author used the following theories during his research: Theories related to the National Single Window which have been applied in development, formulation and operation of electronic payment; Theories related to duties, fees and charges; Theories related to electronic payment, electronic transactions; Theories related to statistics, linear regression and forecast analysis.

    doc20p cothumenhmong6 17-07-2020 40 3   Download

  • The study provides insight into different aspects related innovation of FIEs such as: types of innovation, frequency of innovation implementation, methods of innovation investment. Results of the analysis of primary data by the linear regression method show the relatively small differences in the impacts of 7 groups of capabilities on efficiency of the company, even though the development capabilities still have made greatest influence with the coefficient of 0.453.

    pdf17p thiendiadaodien_6 12-02-2019 40 2   Download

  • This study was conducted to measure the causality between public administration reforms (PAR), provincial competitiveness and GDP per capita in Vietnam. Factor analysis was firstly adopted, and then followed by the log linear regression.

    pdf9p thiendiadaodien_5 08-01-2019 37 2   Download

  • Chapter 14 - Simple linear regression analysis. After mastering the material in this chapter, you will be able to: Explain the simple linear regression model, find the least squares point estimates of the slope and y-intercept, describe the assumptions behind simple linear regression and calculate the standard error,...

    ppt14p whocare_b 05-09-2016 51 1   Download

  • Tensile properties of cooked meat sausages and their correlation with textureprofile analysis (TPA) parameters and physico-chemical characteristics has many contents: Description of the samples, Physico-chemical analysis, Textural analysis, Statistical analysis, Physico-chemical analysis, Textural analysis, Linear regression analysis.

    pdf7p cscpubka 05-05-2014 100 1   Download

  • Phân tích hồi qui tuyến tính (linear regression analysis) có lẽ là một trong những phương pháp phân tích số liệu thông dụng nhất trong thống kê học. Có người từng viết “Cho con người 3 vũ khí – hệ số tương quan, hồi qui tuyến tính và một cây bút, con người sẽ sử dụng cả ba”! Trong chương này, tôi sẽ giới thiệu cách sử dụng R để phân tích hồi qui tuyến tính và các phương pháp liên quan như hệ số tương quan và kiểm định giả thiết thống kê. ...

    pdf73p duagangdamsua 28-05-2011 263 38   Download

  • From the system we call the ‘normal equation system’ we can solve K normal equations for K unknown beta coefficients. The straight-forward representation of the solution is expressed in the matrix algebra. However, since the main purpose is the application and EViews. Other data analysis software is available, so we can easily find regression coefficients without remembering all the algebraic expressions.

    doc12p hgiang 11-03-2009 173 17   Download

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