Grading Fish for Quality. 2. Statistical Analysis of the Results of Experiments Regarding Grades and Trimethylamine values

1958 ◽  
Vol 15 (4) ◽  
pp. 717-728 ◽  
Author(s):  
P. L. Hoogland
Keyword(s):  
Statistical Analysis ◽  
Linear Regression ◽  
Recent Work ◽  
Statistical Treatment ◽  
Regression Equation ◽  
Linear Regression Equation ◽  
Grade Ii ◽  
Set Up ◽  
Grade Iii

The results of recent work at this station regarding the organoleptic grade of cod and haddock and the trimethylamine content of these fish were subjected to statistical treatment. It was established that there is a relation between grade and trimethylamine content which may be represented by a linear regression equation, if the trimethylamine content is expressed as log (1 + TMA value). The confidence with which this TMA index may be used to estimate grade was also determined. Based on these findings, a scale of TMA values for use in practical grading was set up; the suggested values are grade I: TMA value 0.00 to 1.00; grade II: TMA value 1.01 to 7.00 and grade III: TMA value 7.01 and higher. Finally, a method is suggested by means of which the ability of a grader to judge the quality of fish may be assessed.

Experiment of Artificial Floating Island Displacement Pile Fixation

2012 ◽  
Vol 220-223 ◽  
pp. 1670-1674
Author(s):  
Fang Li Su ◽  
Sheng Yu Shi ◽  
Hai Fu Li ◽  
Tie Liang Wang
Keyword(s):  
Experimental Data ◽  
Linear Regression ◽  
Flow Rate ◽  
Vertical Direction ◽  
Regression Equation ◽  
Maximum Force ◽  
Linear Regression Equation ◽  
Floating Island ◽  
The Impact

For providing refer to the experimental data of artificial floating island in river north, this study will get stability characteristics of artificial floating islands displacement pile fixation on simulating the impact of different flow rate of water. Analysising physical stress of artificial floating island displacement pile fixation and simulation, result shows that the sum of floating island of buoyancy and the maximum force of two fiber rope in the vertical direction should be greater than the maximum gravity of the floating island plants and ensure the maximum force of the two fiber rope in the horizontal direction must be greater than the flow momentum, the quality of floating island can be increased for improving stability. Depend on the different flow of water and linear regression equation, the distance between the floating island should be arranged reasonably.

scholarly journals Somatotype role in the identification of phenotypic human features

2014 ◽  
Vol 18 (3 (71)) ◽  
Author(s):  
S. M. Fedorchuk ◽  
E. P. Fedorchuk-Neznakomtseva
Keyword(s):  
Statistical Analysis ◽  
Linear Regression ◽  
Multivariate Statistical Analysis ◽  
Regression Equation ◽  
Linear Regression Equation ◽  
Anthropometric Parameters ◽  
Multivariate Statistical

As a result of one-and multivariate statistical analysis of anthropometric and osteometric parameters, linear regression equation for determining the differentiation of the somatotype and determination of the anthropometric parameters of the person have been developed.

scholarly journals Pengaruh Kualitas Pelayanan Dan Harga Tambahan Layanan Terhadap Kepuasan konsumen Pengguna Jasa Kapal Penyebrangan Di PT Trisakti Lautan Mas Cabang Bakauheni, Lampung

2020 ◽  
Vol 10 (1) ◽  
pp. 15-36
Author(s):  
Gugup Tugi Prihatma
Keyword(s):  
Quality Of Service ◽  
Linear Regression ◽  
Customer Satisfaction ◽  
Multiple Linear Regression ◽  
Consumer Satisfaction ◽  
Regression Equation ◽  
Linear Regression Equation ◽  
Multiple Linear Regression Equation

Customer satisfaction will be formed if it can meet the expectations of the consumer base. Many factors that affect customer satisfaction including the quality of service and price. The problem in this research is (1) How does the quality of service to customer satisfaction, (2) How does the price of the additional services to customer satisfaction, (3) How does the quality of service and price of the additional services simultaneously on customer satisfaction.               The results obtained by multiple linear regression equation Y = 13,122 + 0.159 X1 + 0.145 X2. Quality of service is not positive and not significant to customer satisfaction with the grades were t = 1.459, the price of the additional services are not there is positive and no significant effect on customer satisfaction with the value t = 1.441, quality of service and price of the additional services together no significant effect on consumer satisfaction with the value of F = 3.012. Overall quality of service and price of the additional services affect customer satisfaction by 0.048 or 4.8%, while the remaining 95.2% is influenced by other factors not examined by the author.               Based on this research can be concluded that: 1) there are significant positive and significant correlation between quality of service to customer satisfaction 2) There is no influence of positive and significant correlation between the price of the additional services to customer satisfaction 3) there is positive and significant correlation between quality of service price additional services simultaneously on customer satisfaction.

scholarly journals Relationship between Cognitive Style and Habits of Mind

2019 ◽  
Vol 2 (1) ◽  
pp. 23
Author(s):  
Hayatun Nufus ◽  
Rezi Ariawan
Keyword(s):  
Linear Regression ◽  
Cognitive Style ◽  
Significance Test ◽  
Regression Equation ◽  
Coefficient Of Determination ◽  
Habits Of Mind ◽  
Linear Regression Equation ◽  
Research Subjects ◽  
Analysis Technique ◽  
The Relationship

This research is a correlational study that examines the relationship between cognitive style and habits of mind. The research subjects involved 4th semester students in the Department of Mathematics Education at the Faculty of Tarbiyah and Teacher Training of UIN Suska Riau which consisted of students with heterogeneous academic abilities. Cognitive style data was collected using the GEFT question instrument with test techniques. Habits of mind data were collected using a questionnaire instrument with a questionnaire distribution technique. The data analysis technique begins with the Pearson Product Moment correlation test which is continued with the significance test and the calculation of the magnitude of the relationship that occurs using the coefficient of determination. Because the data is positively correlated, it continues with determining the linear regression equation. The results showed that there was a significant weak correlation between cognitive style and habits of mind with a relationship score of 6% and a linear regression equation y '= 36.35 + 0.31 x.

Coronal Suture Pathology and Synostotic Progression in Rabbits with Congenital Craniosynostosis

1996 ◽  
Vol 33 (5) ◽  
pp. 369-378 ◽  
Author(s):  
Mark P. Mooney ◽  
Timothy D. Smith ◽  
Annie M. Burrows ◽  
Herbert L. Langdon ◽  
Cynthia E. Stone ◽  
...  
Keyword(s):  
Linear Regression ◽  
Inbred Strain ◽  
Rabbit Model ◽  
Regression Equation ◽  
Histologic Examination ◽  
Coronal Suture ◽  
Linear Regression Equation ◽  
Cross Sectional ◽  
High Tension ◽  
Single Focus

The purpose of the present study was to describe coronal suture pathology and cross sectional synostotic progression in an inbred strain of rabbits with congenital craniosynostosis. Calvaria from 102 perinatal rabbits (39 unaffected; 63 bilateral or unilateral synostosis) were collected at fetal days 21 (n = 12), 25 (n = 20), 27 (n = 22), 30 (term) (n = 32), and 3 days post-term (n = 16) for gross morphologic and histologic examination. Synostotic foci, the extent of relative bony bridging, and suture morphology were evaluated qualitatively and quantitatively. Of the 204 coronal sutures examined, 91 sutures were synostosed, and 113 were patent. All synostosed sutures showed similar foci by day 25, which originated as bony bridges in the middle of each suture on the ectocortic surface. Bony bridging width increased significantly (p < .001) from day 25 through 3 days post-term, and was best described by a linear regression equation. Osteogenic front areas of synostosed sutures were up to 2.5 times greater than patent sutures in term fetuses. Findings demonstrate that coronal suture synostosis in the congenital rabbit model (1) begins early during suture morphogenesis (before 25 days of gestation); (2) consistently radiates from a single focus corresponding to a normal interdigitating region (i.e., a high-tension environment); (3) varies in onset and rate as evidenced by low R2 value between age and extent of bony bridging; and (4) is the result of early hyperostosis of the osteogenic fronts and sutural agenesis. A number of possible pathogenetic mechanisms are discussed.

Preliminary Study on Prediction Model of Forming Tubular Bulge Height for a Thick-Plate

2011 ◽  
Vol 314-316 ◽  
pp. 763-766
Author(s):  
Dan Liu ◽  
Xiao Ting Xiao ◽  
Yi Juan Liao ◽  
Zheng Rong Zhang
Keyword(s):  
Linear Regression ◽  
Prediction Model ◽  
Sheet Metal ◽  
Process Parameters ◽  
Thick Plate ◽  
Regression Equation ◽  
Linear Regression Equation ◽  
Forward Extrusion ◽  
Inner Diameter ◽  
Bulge Height

To form the thick-plate with the tubular bulge, the backward and forward extrusion and punch process is proposed. The thickness of sheet metal, the inner diameter of tubular bulge, the diameter of punch-die, the forward extrusion depth and other process parameters are set by orthogonal regression design method and these groups of values are used respectively to simulate the combined extruding and punching process by the plastic analysis software DEFORM3D. And then, the linear regression equation is obtained between the bulge height and process parameters. The results indicate that the main factors affecting the bulge height are the thickness of sheet metal and diameter of punch-die within a certain range. However, the inner diameter of tubular bulge and the forward extrusion depth have a little contribute to bulge height. Also, the reliability of linear regression equation is not fine and the prediction model of tubular bulge needs to a more in-depth study.

Incisor growth in twins during the seventh and eighth months of foetal life

1963 ◽  
Vol 12 (3) ◽  
pp. 238-246 ◽  
Author(s):  
Maurice V. Stack
Keyword(s):  
Linear Regression ◽  
Regression Equation ◽  
Linear Regression Equation ◽  
Central Incisor ◽  
Dental Tissue ◽  
Lower Upper ◽  
Incisor Growth ◽  
Foetal Life ◽  
Similar Development

SUMMARYWeights of mineralized dental tissue have been determined in incisors dissected from ten pairs of twins failing to survive beyond 7-8 months' gestation. Logarithms of weights were compared as ratios (lower/upper) with data from foetuses of similar development. Intra-twin differences were thus shown to be significantly less than inter-twin differences when comparing central incisors. Lateral incisors were too variable to allow this demonstration. The linear regression equation combining logarithms of lower and upper central incisor weights was suitable for estimating foetal age to within one week of the recorded age.

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