If you used this regression to predict Tesla sales, how many more years will it take to double total sales (# sold) beyond the 2022 sales level? (Show your calculations.) Do you think this is a good prediction? Explain why or why not. The blow regression is the effect of time on In(Total Sales) Regression Statistics Multiple R R Square Adjusted R Sq 0.94711655 Standard Erro 0.69874288 Observations ANOVA Regression Residual Total 0.97513791 0.95089394 Intercept Time df 15 $$ MS Significance F 1 122.90658 122.90658 251.733114 6.8937E-10 13 6.3471409 0.48824161 14 129.253721 Coefficients itandard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 4.84930862 0.37966765 12.7725095 9.8536E-09 4.02908654 5.66953071 4.02908654 5.66953071 0.66253458 0.04175787 15.8660995 6.8937E-10 0.57232218 0.75274698 0.57232218 0.75274698
If you used this regression to predict Tesla sales, how many more years will it take to double total sales (# sold) beyond the 2022 sales level? (Show your calculations.) Do you think this is a good prediction? Explain why or why not. The blow regression is the effect of time on In(Total Sales) Regression Statistics Multiple R R Square Adjusted R Sq 0.94711655 Standard Erro 0.69874288 Observations ANOVA Regression Residual Total 0.97513791 0.95089394 Intercept Time df 15 $$ MS Significance F 1 122.90658 122.90658 251.733114 6.8937E-10 13 6.3471409 0.48824161 14 129.253721 Coefficients itandard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 4.84930862 0.37966765 12.7725095 9.8536E-09 4.02908654 5.66953071 4.02908654 5.66953071 0.66253458 0.04175787 15.8660995 6.8937E-10 0.57232218 0.75274698 0.57232218 0.75274698
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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