DEVELOPMENT OF REGIONAL MODELS OF CREATIVE INDUSTRIES ON THE BASIS OF CORRELATION-REGRESSION ANALYSIS

2021 ◽  
Vol 9 (1) ◽  
pp. 27-34
Author(s):  
Maksym Voichuk ◽  
Yuliia Zavadska

The article considers the importance of research and functioning of creative industries and substantiates the stages of integrated assessment of their development. One of the methodologi-cal approaches to the study of creative industries is considered namely correlation-regression analysis. The necessity of application of multiple correlation-regression analysis for estimation of the interdependence of certain creative indicators with their creative parameters is opened and the regional model of development of creative industries is constructed. The study is based on calculations and formulas, the values of which are used in the construction of a matrix of paired correlation coefficients and other important components. Based on the study, regression statistics and analysis of variance. The paper provides all possible indicators for the develop-ment of an organizational and economic mechanisms for building regional models of creative industries.

Genetika ◽  
2011 ◽  
Vol 43 (3) ◽  
pp. 537-548 ◽  
Author(s):  
Hojjat Ansari ◽  
Hassanpour Asil ◽  
Babak Rabiei ◽  
Ahmad Dadashpour

Flushing and fermentation times are the two main parameters determining the quality of black tea. In this research, the effects of different flushing and fermentation times were studied on the quality of black tea in two clones, 100 and natural Chinese hybrid. Analysis of variance showed there were the significant differences between the clone types, flushing and fermentation times for theaflavin, thearubigin, total color, brightness, tannin and caffeine. Correlation coefficients between all studied traits, except thearubigin and brightness, caffeine and brightness, and total colour and theaflavin/thearubigin ratio, were significant at 1% probability. Regression analysis indicated there was a significant linear regression between fermentation time and brightness, tannin, and theaflavin/thearubigin ratio. Also, multiple regression analysis for brightness and total colour indicated that more than 70% of the variation in brightness was explained by theaflavin, caffeine and theaflavin/thearubigin ratio, and more than 68% of the variation in total colour was because of caffeine and theaflavin/thearubigin ratio.


2010 ◽  
Vol 113-116 ◽  
pp. 1147-1152
Author(s):  
Xue Mei Guan ◽  
Ming Hui Guo

This paper takes plantation pinus sylvestnis var. mongolica litv. as study object, determines main anatomical factors influencing wood dyeing effects by measuring the related indexes of wood anatomical structure and dyeing effects, making a multiple regression analysis of them and analyzing the correlation variation law between wood anatomical structure and dyeing effects. The results show that there is a high correlation between pinus sylvestnis var. mongolica litv. dyeing effects and wood anatomical factors and the multiple correlation coefficients between anatomical factors and various dyeing effect indexes are between 0.573 and 0.786. The main anatomical factors influencing pinus sylvestnis var.mongolica litv.dyeing effects are tracheid proportion, wood ray proportion, resin canal proportion and late wood tracheid length, etc.


Medicina ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 100-112
Author(s):  
T. N. Golubova ◽  
◽  
N. M. Ovsyannikova ◽  
Z. R. Makhkamova ◽  
I. Yu. Tkachenko ◽  
...  

The use of multiply regression analysis for the TB indicators assessment and prediction in the Republic of Crimea is discussed. Basic TB indicators in the Republic of Crimea for the period 2014-2018 were studied using Pearson correlation coefficient and step-by-step multiply linear regression analysis. During paired correlation analysis, dependable association with an average and high degree is identified for the most indicators of interest. The multiple correlation coefficients were higher than the paired correlation coefficients, which demonstrated the greater significance of the group conditionality of the indicators. For key epidemiological TB indicators the regression equations are constructed and the most relevant predictors are found using stepwise multiply regression analysis. The regression equations for TB incidence, prevalence and mortality rates are proposed for practical applying to predict epidemiological situation.


2018 ◽  
Vol 1 (01) ◽  
pp. 17
Author(s):  
Ramlan Ruvendi

The study was carried out to find out whether there were influence and correlation bet-ween : a) Reward received by the IRDABI’s employees on their job satisfaction. b) style of the leader-ship on the job satisfaction. c) Reward together with style of leadership on the job satisfaction of IR-DABI’s employees.The result of the study showed that there was significant correlation and influence between the reward on the job satisfaction with was shown by the value of partial correlation coefficient of 0.6185 and coefficient of multiple regression for reward variable (β1) of 0.412. The influence of variable for style of leadership on the job satisfaction was also significant with the partial correlation coefficient of 0.5495 and coefficient of multiple regression (β2) of 0.355.In the test of Analysis of Variance (ANOVA) on the equation of multiple regression show that F-value was bigger that F-table (F = 58.97 > F-table = 3.098) or the Probability Value smaller than 0.05. At showed that there was significant correlation and influence between reward variables all together with style of leadership on the job satisfaction of employees. The value of multiple correlation coefficient (R) was 0.751 and R Square (R2) was 0.564. Value of R Square (0.564) meant that 56.5% of variation pro-portion total of job satisfaction can be eliminated of equation of multiple regression was used as the es-timator rather than using average value of job satisfaction as the estimator.


2019 ◽  
Vol 7 (2) ◽  
pp. 101-108
Author(s):  
Angga Hapsila

This research is about savings and loans for women UPK Gerbang Sari, Rengat Barat District. The research lasted for 5 (five) months. This research try to determine the effect of whether there was a significant influence between fixed assets and current assets on income on women's savings and loans UPK Gerbang Sari, Rengat Barat District. The formulation of the problem to be investigated is whether there is a simultaneous and partial effect between fixed assets and current assets on women's savings and loan income UPK Gerbang Sari, Rengat Barat District. This research used quantitative methods, that illustrates whether there is a significant influence between fixed assets and current assets on income on savings and loans for women UPK Gerbang Sari, Rengat Barat District. To analyzed the data, this research used multiple regression, correlation coefficients, and Hypothesis testing which will be assisted using SPSS version 21. From the results of the study with the regression equation Y = 1,379,231-1,075 X1 + 0,214X2. This means: a = if the fixed assets and current assets are equal to Zero (0), then the value of income is equal to 1,379,231. The coefficient of multiple correlation R is 0.686. and furthermore tested with multiple determination Keofisie (R2 is 0.471. This indicates that (X1) fixed assets and (X2) current assets have together an influence of 47.10% and the remaining 52.90% is influenced by variables other than ( X1) and (X2). Hypothesis testing in which F arithmetic (0.891) <Ftable (3.00), then there is no significant effect simultaneously between fixed assets and current assets to income on savings and loans for women in UPK Gerbang Sari, Rengat Barat District.


1970 ◽  
Vol 31 (2) ◽  
pp. 460-462 ◽  
Author(s):  
Paul A. Sommers ◽  
Lee M. Joiner ◽  
Laurence E. Holt ◽  
J. C. Gross

The study was designed to determine the predictive validity of 5 kinesio-perceptual (KP) items (dynamic equilibrium, reaction time, agility, static equilibrium, and KP matching) contained in a test battery (KPT) administered to 120 institutionalized retarded children, chronological ages (CA) 8 to 20 yr. When multiple linear regression analysis was used to predict scores on the Wechsler Intelligence Scale for Children (IQ) the multiple correlation was .75 ( R2 = .57, p = .001). Knowledge of CA and sex added only 1% to the total amount of IQ variance accounted for. A brief discussion of the conflict between the goals of developmental validation and prediction of intellective criteria was also presented.


1987 ◽  
Vol 3 (1) ◽  
pp. 63-68 ◽  
Author(s):  
Peter McGrain ◽  
James Van Dyke ◽  
James Mastro

This study examined the coefficients of restitution (e) of selected balls used in team sports for the visually impaired: beep baseball and goal ball. Specifically, a basketball was compared to two men's standard goal balls, and a softball was compared to three different types of beep baseballs. The e for all balls was calculated by dropping each ball five times from heights of 6 ft (1.83 m) and 19.25 ft (5.88 m). A Sony reel-to-reel videotape recorder was used to record rebound heights on a background scale for each ball dropped. Reliability tests of the procedures yielded correlation coefficients (r) of 0.996 and 0.998 for the 6 ft (1.83 m) and 19.25 ft (5.88 m) drops, respectively. Two two-factor analysis of variance (ANOVA) tests yielded significant differences across ball type and height of drop for the basketball and goal balls and for the softball and beep baseballs, respectively (p < 0.001). The es for the more recently developed beep baseballs are close to that of the standard softball, indicating a possible danger to visually impaired participants in beep baseball.


Sign in / Sign up

Export Citation Format

Share Document