Cross-Section Regression Analysis of Profit and Dividends in the Brewing Industry, United Kingdom, 1951–63

2021 ◽  
pp. 164-181
Author(s):  
Robin L. Alpine
1964 ◽  
Vol 42 (12) ◽  
pp. 1635-1652 ◽  
Author(s):  
Lee A. Paine ◽  
Gideon Schwarzbart ◽  
William G. O'Regan

Regression analysis techniques were applied to an estimation of three-dimensional surfaces representing the growth of Fomes pini as a function of time and temperature. These methods were judged to be valuable in their economy of data and in their provision of readily available plotting points for any desired cross section of the surface.The growth pattern of F. pini taken from Douglas fir was distinct from that of the form of F. pini found on nearby white fir. Growth of isolates from Douglas fir was more than twice that of white fir isolates after 18 days at near-optimum temperatures on malt agar. Estimates of growth trends and optimum temperatures were examined both for individual isolates of F. pini and for averages of isolates from the two host species, Douglas fir and white fir. Results suggest that chronological changes in the optimum temperature may be affected by the relation between the storage temperature preceding initial measurements and the terminal optimum temperature.


2020 ◽  
Vol 2 (1) ◽  
pp. 107
Author(s):  
Nesyana Dewi ◽  
Melti Roza Adry

This study aims to determine the effect of education, income per capita, age and knowledge on waste management in urban areas West Sumatera. This study uses secondary data in the form of cross section data of urban West Sumatera. Data obtained from BPS- Susenas West Sumatera. This study uses logistic regression analysis. The result of this study indicate that (1) education has not significant effect on waste management in urban areas West Sumatera (2) income per capita has not significant effect on waste management  in urban areas West Sumatera (3) age has not significant effect on waste management in urban areas West Sumatera (4) knowledge has a significant effect on waste management in urban areas West Sumatera


2020 ◽  
Vol 1 (6) ◽  
pp. 30-33
Author(s):  
Shahin ripon Nazmul ◽  
Riyaaz Sanjoy

This study discuses Short-term cost interpretation, regression analysis with time-series data, long term cost interpretation, Regression analysis using cross-section data, cost forecasting and Changes in the productivity of production factors. Short-term cost interpretation lead to short-term decisions, the concept of incramental costs has a very important role which includes variable costs and changes in fixed costs.  Long term cost interpretation to analyze the production function of several different firms, long-run cost estimates can be used. Based on these conditions, the estimation of long-term costs uses cross-section data. Forecasting costs for various levels of output in the coming period requires an assessment of changes in the efficiency of the production process physically, plus changes in the prices of production factors used in the production process.


1968 ◽  
Vol 46 ◽  
pp. 52-84 ◽  
Author(s):  
C. Gillion

This article describes an attempt to establish by regression analysis the form of the relationships which determine wage-rates and average earnings in the United Kingdom.


2013 ◽  
Vol 333-335 ◽  
pp. 226-229
Author(s):  
He Fang Jing ◽  
Yi Tian Li

SonTek’s Riversurveyor Catamaran (the RiverCAT) is a fully integrated river discharge measurement system. In this paper, the RiverCAT is applied to measure the topography under water in a middle industry water supply reservoir. The whole measurement process is introduced. Area of each cross-section is calculated with complex trapezoidal quadratic formula, and the capacity of the reservoir is computed with complex prismaid quadratic formula. The relationship between capacity and water level is researched by regression analysis method.


2021 ◽  
Vol 24 (2) ◽  
pp. 175-191
Author(s):  
Halina Waniak‑Michalak ◽  
Ivana Perica

The purpose of the paper is to find a link between the level of NGOs’ revenues and the trust in non‑governmental organisations (NGOs). We investigate if social trust, as measured by the Charities Aid Foundation, influences their charitable revenues. We analyse the revenues of NGOs in three countries: Poland, Croatia and the United Kingdom. We analyse the change in social trust in these countries and revenues in the years 2013–2017. The design and methodology approach includes a literature review and panel regression analysis. The main results of the panel regression analysis indicate that the amount of donations depends not only on the level of public trust but also on certain external and independent factors. We find that NGOs revenues vary from country to country due to different levels of economic development and wealth of countries. The results also show that apart from demographics, NGOs’ revenues and the donations they receive are also influenced by the philanthropic goal, the numer of years since it was established (the age of the organization) and the financing model. The research limitations include the selection of only a few countries for the analysis. This paper’s originality and value lie in the fact that the problem of low social trust in NGOs is analysed by linking it with the NGOs’ revenues.


2021 ◽  
Author(s):  
Darren A Brown ◽  
Kelly K O’Brien ◽  
Richard Harding ◽  
Philip Sedgwick ◽  
Mark Nelson ◽  
...  

AbstractObjectivesMeasure the prevalence and severity of disability, and examine disability risk factors among adults living with HIV in London, United Kingdom (UK).MethodsWe conducted a quantitative cross-sectional study. The following self-reported questionnaires were administered: World Health Organization Disability Assessment Schedule 2.0 (WHODAS), HIV Disability Questionnaire (HDQ), a disability item using the Equality Act disability definition (EADD), and demographic and HIV questionnaire. We calculated the proportion (95% Confidence Interval; CI) of “severe” and “moderate” disability as measured using EADD and WHODAS scores ≥2 respectively. We measured disability severity with HDQ domain severity scores. We used demographic and HIV characteristic questionnaire responses to assess potential risk factors of “severe” (EADD) and “moderate” (WHODAS scores ≥2) disability using logistic regression analysis, and HDQ severity domain scores using linear regression analysis.ResultsOf 201 participants, 176 (87.6%) identified as men, with median age 47 years, and 194 (96.5%) virologically suppressed. Severe disability prevalence was 39.5% (n=79/201), 95% CI [32.5%, 46.4%]. Moderate disability prevalence was 70.5% (n=141/200), 95% CI [64.2%, 76.8%]. Uncertainty was the most severe HDQ disability domain. The HIV characteristic of late HIV diagnosis was a risk factor for severe disability [Odds Ratio (OR) 2.71; CI 1.25, 5.87]. The social determinants of health economic inactivity [OR 2.79; CI 1.08, 7.21] and receiving benefits [OR 2.87; CI 1.05, 7.83] were risk factors for “severe” disability. Economic inactivity [OR 3.14; CI 1.00, 9.98] was a risk factor for “moderate” disability. Economic inactivity, receiving benefits, and having no fixed abode were risk factors (P≤0.05) across HDQ disability domains; physical, mental and emotional, difficulty with day-to-day activities, and challenges to social participation. Personal factors of identifying as a woman and being aged <50 years were risk factors (P≤0.05) for HDQ disability domains; mental and emotional, uncertainty, and challenges with social participation.ConclusionsPeople living with well-controlled HIV in London UK experienced multi-dimensional and episodic disability. Results help to better understand the prevalence, severity, and risk factors of disability experienced by adults living with HIV, identify areas to target interventions, reduce disability, and optimise health and function.


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