Interpret the following regression equation with (UR) uemployment rate as dependent variable and (INF) inflation as the independent variable. Dependent Variable: URMethod: Least SquaresDate: 10/30/22 Time: 11:50Sample: 1991 2021Included observations: 31VariableINFR-squaredAdjusted R-squaredS.E. of regressionSum squared residLog likelihoodDurbin-Watson statCoefficient2.749079Std. Error0.488019t-Statistic5.6331370.251048 Mean dependent var0.251048 S.D. dependent var36.76557Akaike info criterion40551.21 Schwarz criterion-155.2203 Hannan-Quinn criter.0.537950Prob.0.000030.7434542.4829210.0787310.1249810.09381

Given information: Consider the given output in which the dependent variable is the Unemployment…

Answered: Interpret the following regression…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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Problem 1P

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call: Researchers measured the percent 1m(formula = Symptoms - wear_mask, data - some_states) of people in 25 states who ʻknew someone with COVID symptoms' (ŷ) and regressed this on the percent of the population frequently wearing a mask in public (x). Residuals: Min -7.9167 -2.3306 -0.2469 2.5020 7. 3345 10 Median 30 Маx coefficients: (Intercept) 111.0981 wear_mask Estimate std. Error t value Pr (>|t|) 10. 5423 10. 538 2.82e-10 *** -8. 375 1. 94 e-08 *** -1.0419 0.1244 signif. codes: 0 ****' 0.001 ***' 0.01 **' 0.05 '.' 0.1 ' ' 1 Residual standard error: 3.859 on 23 degrees of freedom Multiple R-squared: 0.7531, F-statistic: 70.15 on 1 and 23 DF, p-value: 1.936e-08 Adjusted R-squared: 0.7423 If 75 percent of people in a state wear masks regularly, what % of people does this model predict will know someone with COVID symptons? 1) 32 2) 33 3) 34 4) 35
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is a scatterplot with RSquared equal to 0.022418 and Root Mean Square error equal to 2.422091 a good model and what do those two valus tell you about the graph. Picture of scatter plot attached.

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