Researchers measured the percentcall:Im(formula - Symptoms - wear_mask, data - some_states)of people in 25 states who 'knewsomeone with COVID symptoms' (ŷ)Residuals:Min10 Median30мах-7.9167 -2.3306 -0.2469 2. 5020 7.3345coefficients:and regressed this on the(Intercept) 111.0981wear_maskEstimate std. Error t value Pr(>|t|)10. 5423 10. 538 2.82e-10 ***-8. 375 1.94 e-08 ***-1.04190.1244percent of the population frequentlywearing a mask in public (x).signif. 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: 0.7423Which of the following represents the correct regression equation?1) ŷ = -1.04 + 111x2) x = 111.10 – 1.04ý3) ŷ = 111.10 + 10.54x%3D4) ŷ = 111.10 – 1.04x

Given that , the estimate of intercept coefficient is 111.10 (upto 2 decimal places). And the…

Answered: Which of the following represents the…

Which of the following represents the correct regression equation? 1) ŷ = -1.04 + 111x 2) x = 111.10 – 1.04ŷ 3) ŷ = 111.10 + 10.54x 4) ŷ = 111.10 – 1.04x %3D

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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Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

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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