An organization develops a linear regression model to forecast sales. Below are the results of the regression analysis using 12 periods in the model.The regression equation is Y = .332167832(X) + 12.42424242Is the model significant? What data demonstrates the significance of the model?What does the R Square signify?What is the forecast for period 13? SUMMARYOUTPUTRegression StatisticsMultiple RR SquareAdjusted RSquare0.8685190590.7543253560.729757892StandardError0.71684689Observations12ANOVASignificancedfMSFFRegression1 15.77797 15.77797203 30.70424132 0.000247139Residual10 5.138695 0.513869464Total11 20.91667StandardErrorCoefficientst StatP-valueLower 95%Upper 95%Lower 95.0% Upper 95.0%Intercept12.42424242 0.441189 28.160831557.408E-1111.4412126 13.4072722511.4412126 13.40727225X Variable 10.332167832 0.059946 5.541140796 0.000247139 0.198600381 0.465735283 0.198600381 0.465735283

The regression equation is Y = 0.332167832(X) + 12.42424242.

An organization develops a linear regression model to forecast sales. Below are the results of the regression analysis using 12 periods in the model. The regression equation is Y = .332167832(X) + 12.42424242 Is the model significant? What data demonstrates the significance of the model? What does the R Square signify? What is the forecast for period 13?

An organization develops a linear regression model to forecast sales. Below are the results of the regression analysis using 12 periods in the model. The regression equation is Y = .332167832(X) + 12.42424242 Is the model significant? What data demonstrates the significance of the model? What does the R Square signify? What is the forecast for period 13?

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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