MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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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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Transcribed Image Text: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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