The regression equation is Health Index= y + a Age + ß Blood sugar + 8 Blood PressuSE20986Coef2912339.2871.95AgeBlood sugar209.2179.3Blood pressure 207.2225.4S = 962.233 R-Sq = 86.6% R-Sq (adj) = 76.5%CoefConstantAnalysis of VarianceSourceDFRegression3Residual Error 4Total7SS23863180370357027566750MST7.214.72*0.927954393925892F***P0.0020.0090.308до0.032a) What is dependent and independent variables?b) Fully write out the regression equation.c) Fill in the missing values **, ***', and *****.d) Hence test whether & is significant. Give reasons for your answer.e) Perform the F Test making sure to state the null and alternative hypothesis.

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Answered: Coef Constant SE 20986 339.28 Age Blood…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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What is correlation and regression? What information does it provide? Why is it important? What does this regression analaysis tell us? What is the significance of the coeffecients?
interpret this 2 way anova of neuron density in detail
How much of the variance in the dependent variable does this regression model explain? SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept X 12.98% 61.52% 76.43% 0.5956% 0.87428 0.76436 0.75983 0.05196 54 df 1 · 52 53 SS MS F 0.45532 0.45532 168.67823 0.14037 0.00270 0.59569 Coefficients Standard Error 0.09827 0.61598 t Stat 0.02173 4.52130 0.04743 12.98762 P-value 0.00004 0.00000 Significance F 5.97165E-18 Lower 95% 0.05465 0.52081 Upper 95% 0.14188 0.71115
It appears that there is a significant relationship between cyberbullying (X) and internet trolling (Y). Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .889a .790 .748 1.50555 a. Predictors: (Constant), CyberBullying ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 42.667 1 42.667 18.824 .007b Residual 11.333 5 2.267 Total 54.000 6 a. Dependent Variable: InternetTrolling b. Predictors: (Constant), CyberBullying Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) .333 1.639 .203 .847 CyberBullying 1.333 .307 .889 4.339 .007 a. Dependent Variable: InternetTrolling State hypothesis for the correlation: Is the correlation significant using α = .05? State the conclusion in APA format.…
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