SUMMARY OUTPUTY543Regression Statistics52114 Multiple R5 R Square6 Adjusted R Squa7 Standard Error8 Observations0.92693294764110.85920468872190.81227291781212.341288283ANOVA101112 Regression13 Residual14 TotaldfSSMSSignificance F100.3551075 100.35510816.44489247 5,48163082118.307527580.023447591116.81516Upper 95%-32.33489968 7.683017960.105207392 0.71602917P-valueLower 95%Lower 95.0%Upper 95.0%Coefficients-12.32594086Standard Error t Stat-32.334899680.1052073920.1447880447.68301796217 Intercept18 X6.28728874-1.96045410.7160291670.410618280.095967334 4.278729670.02344759119PEARSON COEFFICIENT r=0.9320 Using the data given in the question about Correlation between monthly advertisingbudget and the number of sales, find the EQUATION OF THE REGRESSION LINE inwhich the explanatory variable (or x variable is the monthly advertising budget) andthe response variable (or y variable) is the number of sales. You may use MS Excel,statistical software, or other online statistical tools found on the Internet.

Let the regression line is given by y = a + bx, Where a is y-intercept, and b is slope of the…

Answered: Using the data given in the question…

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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