scholarly journals Forecasting Annual Vegetable Plantings

1992 ◽  
Vol 2 (1) ◽  
pp. 89-91
Author(s):  
Joseph F. Guenthner
Keyword(s):  
Linear Regression Analysis ◽  
Price Volatility ◽  
Multiple Linear Regression Analysis ◽  
Vegetable Crops ◽  
Vegetable Crop ◽  
Sugar Beets ◽  
Business Decisions ◽  
Field Crops ◽  
Crop Planting ◽  
Significant Factors

Vegetable producers and marketers make business decisions based on supply estimates. The U.S. Dept. of Agriculture provides estimates of planting intentions for field crops but not for most vegetable crops. This study developed models that can be used to forecast vegetable crop plantings. Multiple linear regression analysis was used to determine the factors that influence plantings of potatoes and onions. Field crop planting intentions, industry structure, lagged values of plantings, prices received, price volatility, and the price of sugar beets were found to be significant factors. The models and/or methods used in this study should be useful to those interested in forecasting vegetable plantings.

scholarly journals Effects of nurses’ shiftwork characteristics and aspects of private life on work-life conflict

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0242379
Author(s):  
Hye-Kyung Oh ◽  
Sung-Hyun Cho
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Work Life ◽  
Private Life ◽  
Leisure Constraints ◽  
Private Lives ◽  
Significant Factors ◽  
Work Life Conflict

Background As nurses work highly irregular hours, the characteristics of shiftwork and aspects of their private lives are important factors that may contribute significantly to work-life conflict. Purpose This study examined the effects of nurses’ shiftwork characteristics and aspects of their private lives on work-life conflict. Methods The participants included 271 registered nurses working three-shift rotations in five types of units at four hospitals in South Korea. We distributed structured questionnaires regarding shiftwork characteristics, private life, and work-life conflict. Data were analyzed using multiple linear regression analysis. Results The significant factors relating to work-life conflict included control over shift start and finish times (β = -0.16, p = .019), frequency of swapping shifts with colleagues (β = 0.15, p = .025) among shiftwork characteristics, and leisure constraints (β = 0.39, p = < .001) in aspects of private life. Conclusion Plan and policies for improving nursing environments should focus on improving nurses’ control over shiftwork and decreasing leisure constraints.

Wavelet and multiple linear regression analysis for identifying factors affecting particulate matter PM2.5 in Mumbai City, India

2019 ◽  
Vol 36 (10) ◽  
pp. 1750-1783 ◽  
Author(s):  
Vivekanand Venkataraman ◽  
Syed Usmanulla ◽  
Appaiah Sonnappa ◽  
Pratiksha Sadashiv ◽  
Suhaib Soofi Mohammed ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Control Measures ◽  
Data Set ◽  
Content Type ◽  
Factors Affecting ◽  
Significant Factors

Purpose The purpose of this paper is to identify significant factors of environmental variables and pollutants that have an effect on PM2.5 through wavelet and regression analysis. Design/methodology/approach In order to provide stable data set for regression analysis, multiresolution analysis using wavelets is conducted. For the sampled data, multicollinearity among the independent variables is removed by using principal component analysis and multiple linear regression analysis is conducted using PM2.5 as a dependent variable. Findings It is found that few pollutants such as NO2, NOx, SO2, benzene and environmental factors such as ambient temperature, solar radiation and wind direction affect PM2.5. The regression model developed has high R2 value of 91.9 percent, and the residues are stationary and not correlated indicating a sound model. Research limitations/implications The research provides a framework for extracting stationary data and other important features such as change points in mean and variance, using the sample data for regression analysis. The work needs to be extended across all areas in India and for various other stationary data sets there can be different factors affecting PM2.5. Practical implications Control measures such as control charts can be implemented for significant factors. Social implications Rules and regulations can be made more stringent on the factors. Originality/value The originality of this paper lies in the integration of wavelets with regression analysis for air pollution data.

scholarly journals FAKTOR PENENTU BID-ASK SPREAD SAHAM LQ45

2020 ◽  
Vol 2 (1) ◽  
pp. 43-54
Author(s):  
Sabna Ainazah Fatikhah ◽  
Siti Puryandani
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Trading Volume ◽  
Linear Regression Analysis ◽  
Price Volatility ◽  
Multiple Linear Regression Analysis ◽  
Company Size ◽  
Stock Price Volatility ◽  
Company Stock ◽  
Bid Ask Spread

Investors always use various information to get the maximum profit in investment activities. One such information is the bid-ask spread. This study aims to determine the effect of company size, stock prices, stock price volatility and trading volume on the bid-ask spread of companies listed in the LQ45 index in the period 2015 to 2018. A total of 14 companies were taken as a purposive sampling sample in order to obtain 56 observational data. The analytical method used in this study is the method of multiple linear regression analysis. The results showed that stock prices and stock price volatility affect the bid-ask spread. While company size and trading volume do not affect bid-ask spread. Investors can consider the size of the company, stock prices, stock price volatility, and trading volume to avoid high spreads and get profit in the future.

Changes in Walleye (Stizostedion vitreum vitreum) Population in Rainy Lake and Factors in Abundance, 1924–75

1977 ◽  
Vol 34 (10) ◽  
pp. 1696-1702 ◽  
Author(s):  
J. R. Chevalier
Keyword(s):  
Growth Rate ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Water Levels ◽  
Stizostedion Vitreum ◽  
Brood Stock ◽  
Commercial Catch ◽  
Compensatory Response ◽  
The Mean ◽  
Significant Factors

Annual commercial harvests of walleye (Stizostedion vitreum vitreum) from Rainy Lake steadily declined from 150,000 kg in the 1920s to 19,000 in the early 1970s; total (all species) harvests averaged 374,000 kg from 1924 to 1975, 45% greater than the MEI estimated allowable harvest. The walleye catch per unit of effort from commercial 102 mm gill nets declined from 43.63 kg/km in 1948 to 18.43 in 1969. Growth rate of walleye increased from 1959 to 1965, probably as a compensatory response to decreased abundance. The increased growth rate, in conjunction with heavy exploitation, caused the mean age of the walleye commercial catch to decline from 1957 to 1967. Both spring water levels and brood stock abundance were significant factors in walleye abundance 5 yr later. From multiple linear regression analysis, these two variables accounted for 65% of the variation in commercial walleye CUE. Key words: Percidae, Stizostedion, walleye, population dynamics, abundance, yield, exploitation, water level, Rainy Lake, Ontario–Minnesota

scholarly journals PERCEPATAN REGENERASI PETANI PADA KOMUNITAS USAHATANI SAYURAN DI KECAMATAN SAMARANG KABUPATEN GARUT PROVINSI JAWA BARAT

2020 ◽  
Vol 1 (3) ◽  
pp. 325-336
Author(s):  
Aji Wahyu Santoso ◽  
Lukman Effendy ◽  
Endang Krisnawati
Keyword(s):  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Government Support ◽  
Vegetable Crops ◽  
Internal Factors ◽  
Level Of Education ◽  
Informal Leaders ◽  
Independent Variable

Abstract Samarang District has the availability of food crops, especially in various vegetable crops to be developed so that it can potentially increase the acceleration of young farmers' regeneration. So, this study aims to describe the characteristics of young farmers, analyze the factors of acceleration of farmers' regeneration, find a strategy of accelerating regeneration. This study was conducted in the Samarang District, Garut Regency. The study sample was 77 respondents who were taken by random sampling technique. The independent variable includes internal factors, namely age, level of education, length of organization, land area, cosmopolitan and external factors of extension activities, government support, availability of facilities and infrastructure, availability of information, and support of informal leaders. The analysis used is descriptive analysis, and multiple linear regression analysis. The results of the study show that managerial is classified as moderate, technically classified as moderate, and socio-economic is classified as moderate Factors related to the acceleration of farmers' regeneration are age, level of education, extension activities, and government support. To increase the acceleration of farmers' regeneration, counseling is carried out by forming the characteristics of farmers and increasing the intensity of extension.

scholarly journals Pengaruh Asset Growth, Leverage, dan Dividend Payout Ratio pada Volatilitas Harga Saham

2020 ◽  
Vol 30 (5) ◽  
pp. 1270
Author(s):  
I Kadek Rama Artikanaya ◽  
Gayatri Gayatri
Keyword(s):  
Stock Price ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Price Volatility ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Stock Price Volatility ◽  
Dividend Payout ◽  
Negative Effect ◽  
Asset Growth

This study aims to obtain empirical evidence about the effect of asset growth, leverage, and dividend payout ratio on stock price volatility. This research was conducted on companies listed in the LQ 45 index on the Indonesia Stock Exchange in 2014 - 2018. The number of samples used was 13 companies using the nonprobability sampling method with a purposive sampling technique, so the number of samples for 5 years became 65 samples. The data analysis technique used is multiple linear regression analysis. Based on the results of the analysis found that asset growth has a negative effect on stock price volatility. Leverage has a positive effect on stock price volatility. Dividend payout ratio has a negative effect on stock price volatility. Keywords: Asset Growth; Leverage; Dividend; Volatility.

scholarly journals The impact of emphysema on dosimetric parameters for stereotactic body radiotherapy of the lung

2016 ◽  
Vol 57 (5) ◽  
pp. 555-566 ◽  
Author(s):  
Satoru Ochiai ◽  
Yoshihito Nomoto ◽  
Yasufumi Yamashita ◽  
Tomoki Inoue ◽  
Shuuichi Murashima ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Conformity Index ◽  
Severe Emphysema ◽  
The Mean ◽  
The Impact ◽  
Significant Factors

Abstract The purpose of this study was to evaluate the impact of emphysematous changes in lung on dosimetric parameters in stereotactic body radiation therapy (SBRT) for lung tumor. A total of 72 treatment plans were reviewed, and dosimetric factors [including homogeneity index (HI) and conformity index (CI)] were evaluated. Emphysematous changes in lung were observed in 43 patients (60%). Patients were divided into three groups according to the severity of emphysema: no emphysema ( n = 29), mild emphysema ( n = 22) and moderate to severe emphysema groups ( n = 21). The HI ( P &lt; 0.001) and the CI ( P = 0.029) were significantly different in accordance with the severity of emphysema in one-way analysis of variance (ANOVA). The HI value was significantly higher in the moderate to severe emphysema group compared with in the no emphysema (Tukey, P &lt; 0.001) and mild emphysema groups ( P = 0.002). The CI value was significantly higher in the moderate to severe emphysema group compared with in the no emphysema group ( P = 0.044). In multiple linear regression analysis, the severity of emphysema ( P &lt; 0.001) and the mean material density of the lung within the PTV ( P &lt; 0.001) were significant factors for HI, and the mean density of the lung within the PTV ( P = 0.005) was the only significant factor for CI. The mean density of the lung within the PTV was significantly different in accordance with the severity of emphysema (one-way ANOVA, P = 0.008) and the severity of emphysema ( P &lt; 0.001) was one of the significant factors for the density of the lung within the PTV in multiple linear regression analysis. Our results suggest that emphysematous changes in the lung significantly impact on several dosimetric parameters in SBRT, and they should be carefully evaluated before treatment planning.

scholarly journals Analisis Pembentukan Harga Komoditas Cabai Rawit dan Bawang Merah Pada Tingkat Eceran di Kota Ambon

2020 ◽  
Vol 16 (1) ◽  
pp. 31-41
Author(s):  
Natelda R Timisela ◽  
Yuliahwati E Salampessy ◽  
Yolanda M T N Apituley
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Supply And Demand ◽  
Linear Regression Analysis ◽  
Distribution Channel ◽  
Multiple Linear Regression Analysis ◽  
Price Formation ◽  
The Difference ◽  
Marketing Agency ◽  
Significant Factors

The distribution channel is one of the significant factors that influence the price formation of a commodity. This research intended to analyze several factors that affect the price formation of cayenne and shallot at the retail level in Ambon City. The data collected in this research were primary and secondary. The samples used in this research consisted of 30 respondents of each commodity (shallot and cayenne), and eight people from each marketing agency or distributors (wholesalers, distributors, and retailers). The collected data were analyzed by applying Multiple Linear Regression analysis. The result of the research depicted that factors that influenced the price formation of cayenne at the retail levels were transportation (X1), the packaging (X3), the difference between in supply and demand (X5), while that factors that influence the price formation of shallots at the retail levels were transportation (X1), the difference between in supply and demand (X5), production (X6), and substitution goods (X7). Keywords: cayenne, shallot, price, retail   ABSTRAK Saluran distribusi merupakan salah satu faktor yang mempengaruhi pembentukan harga suatu komoditas. Penelitian bertujuan untuk menganalisis faktor-faktor mempengaruhi pembentukan harga cabai rawit dan bawang merah ditingkat eceran di Kota Ambon. Sampel penelitian adalah pengecer komoditi bawag merah dan cabe rawit berjumlah masing-masing 30 responden. Analisis data menggunakan analisis regresi linear berganda. Hasil penelitian menunjukkan bahwa faktor-faktor yang memengaruhi pembentukan harga cabai rawit di tingkat eceran adalah transportasi (X1), kemasan (X3) dan selisih pasokan dan permintaan (X5), sedangkan faktor-faktor yang mempengaruhi pembentukan harga bawang merah di tingkat eceran adalah transportasi (X1), selisih pasokan dan permintaan (X5), produksi (X6), dan barang substitusi (X7). Kata Kunci: bawang merah, cabai rawit, harga, eceran

Fathers’ Involvement in Their Wives’/Partners’ Breastfeeding: A Descriptive Correlational Study

2019 ◽  
Vol 35 (4) ◽  
pp. 801-812
Author(s):  
Regina Ng Wan Leng ◽  
Shefaly Shorey ◽  
Sharon Lee Kit Yin ◽  
Cynthia Pang Pui Chan ◽  
Hong-Gu He
Keyword(s):  
Public Hospital ◽  
Behavioral Control ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Perceived Behavioral Control ◽  
Knowledge And Attitudes ◽  
Correlational Design ◽  
Birth Data ◽  
Breastfeeding Attitudes ◽  
Significant Factors

Background: Fathers’ involvement has been identified as a significant predictor in maternal breastfeeding outcomes. Its benefits have been well-documented, but limited studies have examined its influencing factors. Research aim: To investigate factors influencing fathers’ involvement in their partners’ breastfeeding. Methods: A descriptive correlational design was used. Data were collected from 151 fathers from four obstetrics wards of a public hospital in Singapore from October 2016 to December 2016. Self-administered questionnaires were used to examine factors such as fathers’ knowledge and involvement in breastfeeding, attitudes towards breastfeeding, and perceived improvements of knowledge and attitudes for fathers’ involvement in breastfeeding on the discharge day of their partners’ and 2 weeks post-birth. Data were analyzed using IBMSPSS24.0. Results: Fathers’ involvement in their partners’ breastfeeding yielded a moderate to high mean score. The multiple linear regression analysis showed that five independent factors significantly influenced fathers’ involvement in their partners’ breastfeeding: (1) perceived approval of family members and friends in fathers’ breastfeeding involvement; (2) knowledge regarding breastfeeding and their involvement; (3) perceived behavioral control for fathers’ breastfeeding involvement; (4)marital relationship; and (5) perceived improvements of knowledge and attitudes 2 weeks post-birth. Conclusions: The study provided evidence on the significant factors that influenced fathers’ involvement in their partners’ breastfeeding, which can be used to guide healthcare professionals when providing appropriate support to facilitate fathers’ involvement. Future studies should continue to evaluate fathers’ involvement in breastfeeding longitudinally so that relevant support can be rendered.

Long-term marketable yields of horticultural crops in southern Ontario in relation to seasonal climate

2005 ◽  
Vol 85 (2) ◽  
pp. 431-438 ◽  
Author(s):  
Alan McKeown ◽  
Jon Warland ◽  
Mary Ruth McDonald
Keyword(s):  
Growing Season ◽  
Maximum Temperature ◽  
Vegetable Crops ◽  
Vegetable Crop ◽  
Cool Season ◽  
Horticultural Crops ◽  
Field Crops ◽  
Hot Days ◽  
Before And After

In Ontario, Canada, marketable yields of certain annual horticultural crops increased steadily from 1940 to the mid-1980s, then dramatically decreased and became highly variable. This was not seen in field crops such as soybean and corn. Standard climatological variables showed little correlation with yields of vegetable crops such as tomatoes, cabbage, cauliflower, onions and rutabagas. The number of hot days (defined as days with maximum temperature greater than 30°C) and number of days with precipitation were better correlated with cool-season vegetable crop yield. With these climate measures we identified a period of milder growing season climate, from 1961 to 1986, and there was a greater frequency of hot days before and after this period. This analysis shows that horticultural crops are more sensitive to specific synoptic events, such as periods of hot days, than to overall growing season climate, and their yields may provide an indicator of a changing climate. Key words: Horticultural yields, historical climate, weather

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