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Minitab Inc correlation coefficient
Correlation Coefficient, supplied by Minitab Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/correlation+coefficient/analysis+correlation/pmc13124941-104-1-7
Average 86 stars, based on 1 article reviews
correlation coefficient - by Bioz Stars, 2026-09
86/100 stars

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Article Title: Phytosynthesis of Ag@AgCl nanoparticles using two types of bionanotechnological protocols exhibiting unique antimicrobial, antioxidant, and anti-inflammatory properties
Article Snippet: Pearson’s correlation coefficient was processed in the Minitab software to determine the correlation between quantitative phytochemical assays and the bioassays.

Article Title: Correlation between instrumental and sensory properties of texture-modified carrot puree.
Article Snippet: Funding information Singapore Institute of Technology, Grant/ Award Number: Ignition Grant R-MOEE103-D010 Abstract This study was undertaken to determine the correlation between instrumental and sensory evaluation on texture-modified carrot puree.. Texture-modified foods (TMFs) are prescribed to dysphagia individuals to aid in the oral manipulation and facilitate swallowing of food.. There is a lack of correlation between instrumental measurements and sensory attributes on TMF.

Article Title: Bacterial biological control agents and resistance resources to enhance defense and morphological attributes of Capsicum annuum against Fusarium wilt
Article Snippet: The correlation between Fusarium wilt development and environmental factors was analyzed using Pearson’s correlation coefficient in Minitab software at a 5% significance level (p < 0.05).

Article Title: Electrocatalytic removal of ciprofloxacin using modified Ti/TiO 2 anodes with ZrO 2 and Bi 2 O 3 nanoparticles modeled via CCD-RSM approach.
Article Snippet: The data obtained were analyzed statistically 442 utilizing Minitab software, evaluating multiple indices, with the correlation 443 coefficient and adjusted correlation coefficient being the key metrics for 444 assessing model fit quality; values near one signify a strong agreement of the 445 model with the experimental data.

Software:

Article Title: Effects of dietary corn and protein levels on physical properties of extruded feed pellets and growth performance of rainbow trout, <i>Oncorhynchus mykiss</i>
Article Snippet: See the T erm s and C onditions (https://onlinelibrary.w iley.com /term s-and-conditions) on W iley O nline L ibrary for rules of use; O A articles are governed by the applicable C reative C om m ons L icense PRIMER-E Ltd., version 6.1.15, Ivybridge, UK). .. Pearson correlation of physical parameters was performed to find the correlation coefficient and p values (Minitab 16 Statistical Software, State College, PA, USA). ..



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Metabo-time confidently represented individualized normalization of host systemic oxidative stress and immune response during COVID-19 recovery, better than physical days since hospitalization (A) The normalization of serum reactive oxygen species levels during recovery was better captured by metabo-time than physical days since hospitalization, as evidenced by the higher R 2 statistic correlating ROS levels with metabo-time than days since hospitalization. This was quantitatively tested by joint linear modeling of ROS on both physical time and metabo-time. (B) Quantification and statistical analysis; ( n = 34), where the conditional regression coefficient (i.e., association) of physical time with ROS was null. Still, the effect of metabo-time remained highly significant, suggesting that metabo-time can fully replace physical time to characterize the individualized recovery of ROS levels. (C) Longitudinal correlation of host serum cytokine levels versus metabo-time and physical time yielded consistent findings across cytokines. (D) Cytokines identified as statistically significantly correlated with metabo-time (i.e., “normalizing” during COVID-19 recovery) were consistent with previous observations ( n = 36). , ,

Journal: iScience

Article Title: A quantitative metabolic signature of host response during SARS-CoV-2 infection and recovery

doi: 10.1016/j.isci.2026.115390

Figure Lengend Snippet: Metabo-time confidently represented individualized normalization of host systemic oxidative stress and immune response during COVID-19 recovery, better than physical days since hospitalization (A) The normalization of serum reactive oxygen species levels during recovery was better captured by metabo-time than physical days since hospitalization, as evidenced by the higher R 2 statistic correlating ROS levels with metabo-time than days since hospitalization. This was quantitatively tested by joint linear modeling of ROS on both physical time and metabo-time. (B) Quantification and statistical analysis; ( n = 34), where the conditional regression coefficient (i.e., association) of physical time with ROS was null. Still, the effect of metabo-time remained highly significant, suggesting that metabo-time can fully replace physical time to characterize the individualized recovery of ROS levels. (C) Longitudinal correlation of host serum cytokine levels versus metabo-time and physical time yielded consistent findings across cytokines. (D) Cytokines identified as statistically significantly correlated with metabo-time (i.e., “normalizing” during COVID-19 recovery) were consistent with previous observations ( n = 36). , ,

Article Snippet: Correlation between Metabo-time and log-transformed CRP values was assessed using Spearman’s rank correlation coefficient.

Techniques:

Correlation coefficient (Matel’s and Pearson’s correlation of the observations).

Journal: Scientific Reports

Article Title: Evaluating the growth and water use efficiency of chili pepper ‘Tanjung’, ‘Unpad’, and ‘Osaka’ using SFM1 sap flow in agro-environment

doi: 10.1038/s41598-026-39053-x

Figure Lengend Snippet: Correlation coefficient (Matel’s and Pearson’s correlation of the observations).

Article Snippet: Fig. 5 Correlation coefficient (Matel’s and Pearson’s correlation of the observations).

Techniques: