Read and analyze the result above using the Simple Linear Regression. Question: What is the effect size of the study?A. R square = 0.48; cannot be determinedB. R square = 0.48; large effectC. R square = 0.48; medium effectD. R square = 0.48; small effect 1 SUMMARY OUTPUT2WN3Regression Statistics4 Multiple R5 R Square6 Adjusted R Square7 Standard Error8 Observations910 ANOVA1112 Regression13 Residual14 Total151617 Intercept18 Math Score (X)0.693052530.4803218090.30709574510.44664636df5SSMSF1 302.6027397 302.6027397 2.7728033 327.3972603 109.13242014630Significance F0.19446749Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%26.78082192 30.51824016 0.877534936 0.444799 -70.34183872 123.9034826 -70.34183872 123.90348260.643835616 0.386647728 1.665173669 0.194467 -0.586650018 1.874321251 -0.586650018 1.874321251

Read and analyze the result above using the Simple Linear Regression. Question: What is the effect size of the study? A. R square = 0.48; cannot be determined B. R square = 0.48; large effect C. R square = 0.48; medium effect D. R square = 0.48; small effect

Read and analyze the result above using the Simple Linear Regression. Question: What is the effect size of the study? A. R square = 0.48; cannot be determined B. R square = 0.48; large effect C. R square = 0.48; medium effect D. R square = 0.48; small effect

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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Help with: Draw a scatter diagram of the data, treating age as the explanatory variable. What type of relation, if any, appears to exist between age and HDL cholesterol? Determine the least-squares regression equation from the sample data Assuming the residuals are normally distributed, test whether a linear relation exists between age and HDL cholesterol levels at the α=0.01 level of significance. What are the null and alternative hypotheses? What is the P Value: What conclusion can be drawn at α=0.01 level of significance? Assuming the residuals are normally distributed, construct a 95% confidence interval about the slope of the true least-squares regression line. Lower bound Upper bound For a 42-year-old male patient who visits the doctor's office, would using the least-squares regression line obtained in part (b) to predict the HDL cholesterol of this patient be recommended? A good estimate for the HDL cholesterol of this patient is
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please show all steps and please write out complete SENTENCES as to how you did each step.
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