Standard Multiple Regression Analysis Model for Cell Survival/ Death Decision of JNK Protein Using HT-29 Carcinoma Cells
Shruti Jain1, D.S. Chauhan2

1Shruti Jain, Department of ECE , Jaypee University of Information Technology, Soaln, Himachal Pradesh, India.
2D.S. Chauhan, GLA Mathura, Uttar Pradesh, 281406. India.

Manuscript received on 02 July 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 August 2019 | PP: 187-197 | Volume-8 Issue-10, August 2019 | Retrieval Number: H7163068819/2019©BEIESP | DOI: 10.35940/ijitee.H7163.0881019
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Abstract: Signaling by the JNK protein has been studied for more than decades with various previous reviews covering more specific aspects. For estimating the relationship among variables a statistical technique called Regression analysis (RA) is used. RA is used to determine the correlation among two or more variables. In this paper, a multiple regression analysis is used to assess the most significant contribution of JNK protein using ten different concentrations of TNF, EGF, and Insulin that control the survival/ apoptosis response of HT-29 human colon carcinoma cells. The data is analyzed using Statistica software. Data normality and the outliers were checked by visual method (histograms, box plot and Q-Q plot). Descriptive statistics (mean and standard deviation) and correlation matrix (correlation and covariance between variables) are used to get the best concentration. Standard regression analysis is used to make a model through which analysis of variance, regression coefficient & correlation coefficients were analysed and based on the p-value we come to know that 100-0-500 yields the best concentration level which helps in the analysis the cell survival/ apoptosis of JNK protein that was validated by variable importance plot. 
Keywords: Regression analysis, correlation, covariance, standard deviation, JNK
Scope of the Article: Regression and Prediction