Below is the output from regression. Use the p-value and decide if the equation is good to use for forecasting. Group of answer choicesA.) p-value = 82 - equation is good to useB.) p-value = 0.15 - equation is not good to useC.) p-value = 0.18 - equation is not good to useD.) p-value = -16 - equation is good to use **Summary Output****Regression Statistics:**- **Multiple R:** 0.413378739- **R Square:** 0.170881981- **Adjusted R Square:** 0.08797018- **Standard Error:** 1.252363732- **Observations:** 12**ANOVA:**- **Regression:** - **df:** 1 - **SS:** 3.232517 - **MS:** 3.232517 - **F:** 2.061009 - **Significance F:** 0.181642- **Residual:** - **df:** 10 - **SS:** 15.68415 - **MS:** 1.568415- **Total:** - **df:** 11 - **SS:** 18.91667**Coefficients:**- **Intercept:** - **Coefficient:** 82.10606061 - **Standard Error:** 0.770771 - **t Stat:** 106.5238 - **P-value:** 1.3E-16 - **Lower 95%:** 80.38866 - **Upper 95%:** 83.82346- **X Variable:** - **Coefficient:** 0.15034965 - **Standard Error:** 0.104728 - **t Stat:** 1.435622 - **P-value:** 0.181642 - **Lower 95%:** -0.083 - **Upper 95%:** 0.383698**Explanation:**- **Multiple R** is a measure of the strength of the association between the observed and modelled values of the dependent variable.- **R Square** indicates the proportion of variance in the dependent variable that can be explained by the independent variable.- **ANOVA (Analysis of Variance)** provides a statistical test of whether the means of several groups are equal.- **Coefficients** give the expected change in the dependent variable for a one-unit change in the independent variable, holding other variables constant. In this case, the Intercept is the constant term and the X Variable represents the slope of the regression line.This data provides insights into the regression model's fit and the statistical significance

Below is the output from regression. Use the p-value and decide if the equation is good to use for forecasting. Group of answer choices A.) p-value = 82 - equation is good to use B.) p-value = 0.15 - equation is not good to use C.) p-value = 0.18 - equation is not good to use D.) p-value = -16 - equation is good to use

Below is the output from regression. Use the p-value and decide if the equation is good to use for forecasting. Group of answer choices A.) p-value = 82 - equation is good to use B.) p-value = 0.15 - equation is not good to use C.) p-value = 0.18 - equation is not good to use D.) p-value = -16 - equation is good to use

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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