Read and analyze the result above using the Simple Linear Regression. Question: Is the math aptitude score a significant predictor of Statistics grade? Why?A. Yes. Because the p-value of 0.19 is less than 0.05.B. Yes. Because the p-value of 0.19 is more than 0.05.C. No. Because the p-value of 0.19 is less than 0.05.D. No. Because the p-value of 0.19 is more than 0.05. 1 SUMMARY OUTPUT2Regression Statistics34 Multiple RSR Square6 Adjusted R Square7 Standard Error8 Observations910 ANOVA1112 Regression13 Residual14 Total151617 Intercept18 Math Score (X)0.693052530.4803218090.30709574510.44664636df5134MSSSF302.6027397 302.6027397 2.772803327.3972603 109.1324201630Significance F0.19446749t Stat P-valueCoefficients Standard ErrorLower 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: Is the math aptitude score a significant predictor of Statistics grade? Why? A. Yes. Because the p-value of 0.19 is less than 0.05. B. Yes. Because the p-value of 0.19 is more than 0.05. C. No. Because the p-value of 0.19 is less than 0.05. D. No. Because the p-value of 0.19 is more than 0.05.

Read and analyze the result above using the Simple Linear Regression. Question: Is the math aptitude score a significant predictor of Statistics grade? Why? A. Yes. Because the p-value of 0.19 is less than 0.05. B. Yes. Because the p-value of 0.19 is more than 0.05. C. No. Because the p-value of 0.19 is less than 0.05. D. No. Because the p-value of 0.19 is more than 0.05.

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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8 The sales of 14 store branches and display area(in square feet) were obtained. The objective is to predict sales in terms of area of dispslay. Data were encoded into MS Excel. Output is shown below. REGRESSION STATISTICS Multiple R 0.954 R Square 0.910 Adjusted R square 0.902 Standard Error 936.85 Observations 14 Coefficients Standard t stat Error Intercept 901.25 513.02 1.76 Size 1.69 0.15 11.0 Predict the sales if the display area utilized for a month is 3,000 square feet. Group of answer choices A.P5,971.25 B. P33,001.76 C. P2,703,751.69
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