Using Y=b0+b1x, how much CO2 emission is expected in a state that is 30% democrat The image displays the output of a linear regression analysis performed using statistical software, likely Stata, examining the relationship between carbon dioxide emissions (co2) and a binary variable, democrat.**Regression Output Explanation:**- **Source Table:** - **Model:** - SS (Sum of Squares): 1402.82998 - df (degrees of freedom): 1 - MS (Mean Square): 1402.82998 - **Residual:** - SS: 18393.5482 - df: 49 - MS: 375.378535 - **Total:** - SS: 19796.3782 - df: 50 - MS: 395.927564- **Model Summary:** - Number of observations (obs): 51 - F(1, 49) = 3.74 - Prob > F = 0.0590 - R-squared = 0.0709 - Adjusted R-squared = 0.0519 - Root MSE (Mean Squared Error) = 19.375- **Coefficients Table:** - **Predictor: democrat** - Coefficient (Coef.): -0.7743168 - Standard Error (Std. Err.): 0.4005446 - t-value (t): -1.93 - P-value (P>|t|): 0.059 - 95% Confidence Interval: [-1.579241, 0.0306077] - **Intercept: _cons** - Coefficient (Coef.): 51.17269 - Standard Error (Std. Err.): 13.53402 - t-value (t): 3.78 - P-value (P>|t|): 0.000 - 95% Confidence Interval: [23.97506, 78.37033]**Interpretation:**- The F-statistic is 3.74 with a p-value of 0.0590, suggesting a marginal statistical significance in the overall model.- The R-squared value of 0.0709 indicates that approximately 7.09% of the variability in CO2 emissions is explained by whether the subject is democrat or not. The table displays data regarding several U.S. states, each identified by their two-letter abbreviation under the "st" column. The accompanying columns provide additional data, as described below:- **region**: A numeric representation of the state's region.- **energyfund**: Indicates the presence (1) or absence (0) of state funding for energy initiatives.- **democrat**: Displays a numeric value related to some aspect of democratic governance or influence within the state.- **co2**: This column provides a value representing the state's carbon dioxide emissions, measured in metric tons per capita.Here is the detailed data presented in the table:- **MA (Massachusetts)** - Region: 4 - Energy Fund: 1 (present) - Democrat: 36.518501 - CO2: 12.88785 metric tons per capita- **MI (Michigan)** - Region: 3 - Energy Fund: 1 (present) - Democrat: 32.027185 - CO2: 19.38696 metric tons per capita- **MN (Minnesota)** - Region: 3 - Energy Fund: 1 (present) - Democrat: 31.518896 - CO2: 19.66035 metric tons per capita- **MS (Mississippi)** - Region: 1 - Energy Fund: 0 (absent) - Democrat: 39.514509 - CO2: 21.06525 metric tons per capita- **MO (Missouri)** - Region: 3 - Energy Fund: 0 (absent) - Democrat: 32.193651 - CO2: 21.94129 metric tons per capita- **MT (Montana)** - Region: 2 - Energy Fund: 1 (present) - Democrat: 25.500661 - CO2: 34.31926 metric tons per capitaThis data could be used for analysis related to energy funding, political influences, and environmental impact across different regions and states.

Given: From the given output: Slope b1 = -0.7743168 Intercept b0 = 57.17269 Formula Used: The…

Answered: Using Y=b0+b1x, how much CO2 emission…

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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