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ordinary least square (ols) regressions  (STATA Corporation)


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    STATA Corporation ordinary least square (ols) regressions
    Ordinary Least Square (Ols) Regressions, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/ordinary+least+square+(ols)+regressions/ordinary+least+squares+regression/10__1016_slash_j__jbusres__2024__115059-391-13-17
    Average 90 stars, based on 1 article reviews
    ordinary least square (ols) regressions - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Beyond the Plate: Uncovering Inequalities in Fruit and Vegetable Intake across Indonesian Districts.
    Article Snippet: The data were divided into quintiles using ArcMap 10.6 (Esri, Redlands, CA, USA), and we conducted Ordinary Least Square (OLS) regressions in STATA 15.1 (StataCorp LLC, College Station, TX, USA).

    Article Title: Diversification of Livestock-Keeping Smallholders in Mountainous Rural Regions of Azerbaijan and Georgia
    Article Snippet: For assessing the determinants of household income we calculated Ordinary Least Square (OLS) multiple linear regression models with robust standard errors in Stata©(Statacorp, College Station, TX, USA) sequentially introducing variable dimensions [71].

    Article Title: Growing Up Unequal: Disparities of Childhood Overweight and Obesity in Indonesia's 514 Districts.
    Article Snippet: To compare the differences, ordinary least square (OLS) regressions were employed in STATA 15.

    Article Title: COVID-19 in Pakistan: A national analysis of five pandemic waves
    Article Snippet: 122 Model Specification 123 For our model for COVID-19 deaths, we used a linear ordinary least square (OLS) 124 regression carried out using STATA 17.

    Article Title: Geographic and Socioeconomic Disparity in Child Undernutrition across 514 Districts in Indonesia
    Article Snippet: Bivariate Ordinary Least Square (OLS) regressions in STATA 15 were performed to show associations between geographic (i.e., urban/rural and region) and socioeconomic (i.e., income and education) disparity for each undernutrition indicator: underweight, severe underweight, wasting, severe wasting, stunting, and severe stunting.

    Article Title: COVID-19 in Pakistan: A national analysis of five pandemic waves
    Article Snippet: For our model for COVID-19 deaths, we used a linear ordinary least square (OLS) regression carried out using STATA 17.

    Article Title: Is it contagious? The effect of fear of failure on employee satisfaction
    Article Snippet: Finally, due to our sample size of 149, we also conduct Ordinary Least Square (OLS) regressions using Stata 15.0 to test the robustness of our results.

    Article Title: Assessment of willingness-to-pay for Aflasafe KE01, a native biological control product for aflatoxin management in Kenya.
    Article Snippet: Ordinary least square (OLS) regression model using STATA was conducted to assess the relative importance of factors hypothesised to influence the WTP of farmers.



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