call:Researchers measured the percent1m(formula = Symptoms - wear_mask, data - some_states)of people in 25 states who ʻknewsomeone with COVID symptoms' (ŷ)and regressed this on thepercent of the population frequentlywearing a mask in public (x).Residuals:Min-7.9167 -2.3306 -0.2469 2.5020 7. 334510 Median30Маxcoefficients:(Intercept) 111.0981wear_maskEstimate std. Error t value Pr (>|t|)10. 5423 10. 538 2.82e-10 ***-8. 375 1. 94 e-08 ***-1.04190.1244signif. codes: 0 ****' 0.001 ***' 0.01 **' 0.05 '.' 0.1 ' ' 1Residual standard error: 3.859 on 23 degrees of freedomMultiple R-squared: 0.7531,F-statistic: 70.15 on 1 and 23 DF, p-value: 1.936e-08Adjusted R-squared: 0.7423If 75 percent of people in a state wear masks regularly, what % of people does thismodel predict will know someone with COVID symptons?1) 322) 333) 344) 35

Based on given information, the regression line is given by y = 111.0981 - 1.0419x

Answered: If 75 percent of people in a state wear…

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

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 2AGP

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Researchers measured the percent call: Im(formula - Symptoms - wear_mask, data - some_states) of people in 25 states who 'knew someone with COVID symptoms' (ŷ) Residuals: Min 10 Median 30 мах -7.9167 -2.3306 -0.2469 2. 5020 7.3345 coefficients: and regressed this on the (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 percent of the population frequently wearing a mask in public (x). 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 Which of the following represents the correct regression equation? 1) ŷ = -1.04 + 111x 2) x = 111.10 – 1.04ý 3) ŷ = 111.10 + 10.54x %3D 4) ŷ = 111.10 – 1.04x
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