scholarly journals Comparison of the Constancy of Heat Unit Accumulation Needed for Heading of Sorghum and Prediction of Heading Date by the Multiple Regression Formula in Northern Kyushu District

2003 ◽  
Vol 72 (2) ◽  
pp. 210-215
Author(s):  
Mitsuyoshi UEDA
Keyword(s):  
Multiple Regression ◽  
Heading Date ◽  
Heat Unit ◽  
Regression Formula ◽  
Kyushu District

A Reconceptualization and Revised Scoring Procedure for the ITPA Based on Multivariate Analysis of the Original Normative Data

1975 ◽  
Vol 18 (3) ◽  
pp. 506-520 ◽  
Author(s):  
Gary Cronkhite ◽  
Kandace Penner
Keyword(s):  
Multiple Regression ◽  
Factor Structure ◽  
Visual Memory ◽  
A Priori ◽  
Auditory Memory ◽  
Perceptual Process ◽  
Facet Structure ◽  
Regression Formula ◽  
Five Factors ◽  
Representation Level

This research was conducted to (1) determine whether a factor analysis of the original normative ITPA data would support the dimensions of Osgood’s psycholinguistic model which provides its theoretical base, (2) investigate the need for constructing psycholinguistic profiles based upon this empirical factor structure rather than upon a priori theoretical “facet structure”, and (3) devise a weighted multiple regression formula for estimating psycholinguistic age based on subtest correlations with chronological age for the original normative group. Whereas five factors were anticipated, one of these split into two components. The factors represented the (1) perceptual process at the representation level, accounting for 8% of the variance; (2) perceptual process at the integration level, 6.5%; (3) organizing process at the representation level, 25%; and (4) expressive process at the integration level, 11%. The expected integration-organizing factor split into (5) auditory memory, 9%, and (6) visual memory, 9%. As anticipated, no emergent factor represented the expressive process at the representation level. The emergent factor structure strongly suggests that the use of factor profiles would be more meaningful than the use of subtest profiles. A multiple regression formula is presented for computing psycholinguistic age equivalents.

scholarly journals Evapotranspiration and heat unit requirement of cowpea

MAUSAM ◽  
2021 ◽  
Vol 61 (4) ◽  
pp. 565-568
Author(s):  
CHANABASANAGOUDA SANGANAGOUDA PATIL
Keyword(s):  
Multiple Regression ◽  
Crop Coefficient ◽  
Regression Equation ◽  
Actual Evapotranspiration ◽  
Multiple Regression Equation ◽  
Degree Days ◽  
Heat Unit ◽  
Kharif Season

Weighing gravimetric lysimeters are used to measure actual evapotranspiration of cowpea for an experiment conducted for two years during Kharif 2004 and 2005.  A multiple regression equation has been generated for relating crop coefficient of cowpea with week after sowing.  The highest value of crop co-efficient was found to be 1.015 on 6th week after sowing under Bangalore climate, the average values of actual evapotranspiration from cowpea crop and heat unit requirements over a period of 89 days in the Kharif season are found to be 284.8 mm and 1293 degree days respectively.

Further aspects of the theory of multiple regression

1938 ◽  
Vol 34 (1) ◽  
pp. 33-40 ◽  
Author(s):  
M. S. Bartlett
Keyword(s):  
Linear Regression ◽  
Multiple Regression ◽  
Matrix Notation ◽  
Regression Formula ◽  
The Matrix ◽  
Statistical Sample ◽  
Image Position

This paper may be regarded as a sequel to a previous papers(1) in these Proceedings. The vector and matrix notation of that paper used for a statistical sample is systematized somewhat further, so that while a sample S refers as before to the matrix of nm values (a sample of m observations in one variate only being a row vector), we writefor the linear regression formula between the dependent and independent variates into which a sample is supposed partitioned (in place of equation (12) of (1)). More generally, a third submatrix S0 is partitioned off, and its effect eliminated (corresponding to equation (13) of (1)), but without loss of generality we assume that S2 in equation (1) above can always stand for S2.0 if necessary.

Quantitative assessment of the seismic net-pay method: A case study

2015 ◽  
Vol 3 (2) ◽  
pp. B25-B36 ◽  
Author(s):  
Ramses G. Meza ◽  
Juan M. Florez ◽  
Stanislav Kuzmin ◽  
John P. Castagna
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Multiple Regression ◽  
Prediction Error ◽  
Quantitative Assessment ◽  
Self Calibration ◽  
Regression Formula ◽  
Direct Use ◽  
Statistical Formula

We applied the seismic net-pay (SNP) method to an oil discovery and predicted thicknesses consistent with the actual thicknesses at the wellbore locations. This was accomplished by applying the method in a self-calibrating mode that did not require the direct use of well information. For net-pay estimation under a self-calibration scenario, the SNP method thickness estimates proved to be more accurate (mean absolute prediction error at well validation locations under [Formula: see text]) than estimates from a reflectivity-based detuning method ([Formula: see text]) or multiple linear regression ([Formula: see text]). Statistical [Formula: see text]-tests indicated that the correspondences of the predicted thickness estimates with actual net-pay values for the SNP and reflectivity methods (F approximately 5.5–6 for both) were statistically significant, whereas the multiple regression results did not prove to be statistically significant.

scholarly journals Kontribusi Pola Hubungan Guru dan siswa dan Kecerdasan Emosional Terhadap Disiplin Siswa

2017 ◽  
Author(s):  
Dahlena Sari Marbun
Keyword(s):  
Secondary School ◽  
Multiple Regression ◽  
Significant Contribution ◽  
Partial Regression ◽  
Teacher Student ◽  
Regression Formula ◽  
Teacher Student Relationship ◽  
Research Population ◽  
Student Relationship ◽  
Academic Year

The purose of this research is to see the contribution of the teacher-student relationship and emotional question to the student’s decipline at MAN I Padang sidimpuan. The purpose this research as in finding and weather there is significant contribution by using multiple and partial regression. The research population was 430 student secondary school at MAN I Padang sidimpuan academic year 1999/2000, and samples was 146 student. The research was done by using analized by using regression formula (simple and multiple regression). The result of data analized separately showed that teacher-student relationship variable gave contribution 2,63%. That’s while emotional quation variable gave contribution 4,31%. The contribution of two variables simultaneously is 6,94%. So, if teacher-student and emotional question variables contribution to the student’s decipline is 6,94% more then 93,06% is influenced by others variables

PREDICTING RATE OF FLUID LOSS DURING EXERCISE USING A MULTIPLE REGRESSION FORMULA

2002 ◽  
Vol 34 (5) ◽  
pp. S113
Author(s):  
D H. Passe ◽  
H Petrie ◽  
E Costigan ◽  
C Horswill ◽  
M Horn ◽  
...  
Keyword(s):  
Multiple Regression ◽  
Fluid Loss ◽  
Regression Formula

Intraoperative lagophthalmos formula for levator resection in congenital ptosis

2018 ◽  
Vol 103 (6) ◽  
pp. 802-804 ◽  
Author(s):  
Sunah Kang ◽  
Ji Won Seo ◽  
Chan Joo Ahn ◽  
Bita Esmaeli ◽  
Ho-Seok Sa
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Surgical Outcome ◽  
Significant Negative Correlation ◽  
Stepwise Multiple Regression ◽  
Stepwise Multiple Regression Analysis ◽  
Congenital Ptosis ◽  
Regression Formula ◽  
Levator Resection

AimTo calculate a regression formula for intraoperative lagophthalmos to determine the amount of correction in levator resection for mild to moderate congenital ptosis.MethodsThis retrospective study included 38 eyelids from 28 consecutive children with congenital ptosis with levator function of 4 mm or better who showed satisfactory surgical outcomes defined as postoperative margin reflex distance-1 (MRD1) ≥3 mm in each eye and difference in MRD1 ≤1 mm between eyes at 6 months after levator resection. We investigated whether the degree of intraoperative lagophthalmos measured by calliper correlated with the preoperative values of MRD1, levator function and age. A stepwise multiple regression analysis was performed with intraoperative lagophthalmos as the dependent variable.ResultsThe mean intraoperative lagophthalmos was 7.4±0.9 mm (range, 6–10 mm). The intraoperative lagophthalmos was found to have a statistically significant negative correlation with preoperative MRD1 (r2=0.55, p<0.0001) and levator function (r2=0.53, p<0.0001), respectively. A stepwise multiple regression analysis resulted in the following regression formula: Intraoperative lagophthalmos=9.08 – 0.48×Preoperative MRD1 – 0.26×Levator function (r2=0.60, p<0.0001).ConclusionIntraoperative lagophthalmos in patients with satisfactory surgical outcome correlated negatively with both preoperative MRD1 and levator function and accounting for both variables resulted in a stronger correlation than either variable alone. Surgeons would be able to calculate the amount of surgical correction using this formula of intraoperative lagophthalmos, which could lead to a satisfactory surgical outcome in levator resection for congenital ptosis.

Language and Literacy Predictors of Dialect Density Among School-Age African American Children From Two Geographic Regions

2020 ◽  
Vol 51 (3) ◽  
pp. 807-820
Author(s):  
Lena G. Caesar ◽  
Marie Kerins
Keyword(s):  
African American ◽  
Multiple Regression ◽  
Oral Language ◽  
East Coast ◽  
Geographic Region ◽  
Literacy Skills ◽  
School Age ◽  
Regression Analyses ◽  
Geographic Regions ◽  
American Children

Purpose The purpose of this study was to investigate the relationship between oral language, literacy skills, age, and dialect density (DD) of African American children residing in two different geographical regions of the United States (East Coast and Midwest). Method Data were obtained from 64 African American school-age children between the ages of 7 and 12 years from two geographic regions. Children were assessed using a combination of standardized tests and narrative samples elicited from wordless picture books. Bivariate correlation and multiple regression analyses were used to determine relationships to and relative contributions of oral language, literacy, age, and geographic region to DD. Results Results of correlation analyses demonstrated a negative relationship between DD measures and children's literacy skills. Age-related findings between geographic regions indicated that the younger sample from the Midwest outscored the East Coast sample in reading comprehension and sentence complexity. Multiple regression analyses identified five variables (i.e., geographic region, age, mean length of utterance in morphemes, reading fluency, and phonological awareness) that accounted for 31% of the variance of children's DD—with geographic region emerging as the strongest predictor. Conclusions As in previous studies, the current study found an inverse relationship between DD and several literacy measures. Importantly, geographic region emerged as a strong predictor of DD. This finding highlights the need for a further study that goes beyond the mere description of relationships to comparing geographic regions and specifically focusing on racial composition, poverty, and school success measures through direct data collection.

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