Given the below output, interpret R-squared. Note: the response variable is Charges Coefficients: (Intercept) age bmi Estimate Std. Error t value Pr(>|t|) -5510.16 1814.88 -3.036 0.00244 ** 242.97 22.30 10.893 <2e-16 *** 53.62 5.994 2.64e-09 *** 893.36 -1.097 0.27291 897.84 0.94245 896.58 -1.742 0.08167.. 321.37 0.072 regionnorthwest -979.86 regionsoutheast 64.83 regionsouthwest -1562.19 Signif. codes: 0****' 0.001*** 0.01 0.05. 0.1 1 Residual standard error: 11380 on 1332 degrees of freedom Multiple R-squared: 0.1203, Adjusted R-squared: 0.117 F-statistic: 36.44 on 5 and 1332 DF, p-value: < 2.2e-16 a) 11.7% of the variation in Charges can be explained by the regression model b) 12.03% of the variation in Charges can be explained by the regression model c) 12.03% of the variation in Charges can be explained by the variation of the regression model d) 11.7% of the variation in Charges can be explained by the variation of the regression model
Given the below output, interpret R-squared. Note: the response variable is Charges Coefficients: (Intercept) age bmi Estimate Std. Error t value Pr(>|t|) -5510.16 1814.88 -3.036 0.00244 ** 242.97 22.30 10.893 <2e-16 *** 53.62 5.994 2.64e-09 *** 893.36 -1.097 0.27291 897.84 0.94245 896.58 -1.742 0.08167.. 321.37 0.072 regionnorthwest -979.86 regionsoutheast 64.83 regionsouthwest -1562.19 Signif. codes: 0****' 0.001*** 0.01 0.05. 0.1 1 Residual standard error: 11380 on 1332 degrees of freedom Multiple R-squared: 0.1203, Adjusted R-squared: 0.117 F-statistic: 36.44 on 5 and 1332 DF, p-value: < 2.2e-16 a) 11.7% of the variation in Charges can be explained by the regression model b) 12.03% of the variation in Charges can be explained by the regression model c) 12.03% of the variation in Charges can be explained by the variation of the regression model d) 11.7% of the variation in Charges can be explained by the variation of the regression model
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Transcribed Image Text:Given the below output, interpret R-squared. Note: the response variable is
Charges
Coefficients:
(Intercept)
age
bmi
regionnorthwest -979.86
regionsoutheast 64.83
regionsouthwest -1562.19
Estimate Std. Error t value Pr(>|t|)
-5510.16 1814.88 -3.036 0.00244 **
22.30 10.893 < 2e-16 ***
53.62 5.994 2.64e-09 ***
893.36 -1.097 0.27291
897.84 0.072 0.94245
896.58 -1.742 0.08167 .
242.97
321.37
signif. codes: 0 ***' 0.001 **' 0.01 ** 0.05 .' 0.1'1
Residual standard error: 11380 on 1332 degrees of freedom
Multiple R-squared: 0.1203,
F-statistic: 36.44 on 5 and 1332 DF, p-value: < 2.2e-16
Adjusted R-squared: 0.117
O a) 11.7% of the variation in Charges can be explained by the regression model
b) 12.03% of the variation in Charges can be explained by the regression model
c) 12.03% of the variation in Charges can be explained by the variation of the
regression model
d) 11.7% of the variation in Charges can be explained by the variation of the
regression model
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
