In this regression, which predictor(s) is/are significant?Coefficients:(Intercept)timepubO'pubs'Neither'time'BothEstimate Std. Error t value Pr (>|t|)43082.43099.5 13.900 9.26e-09982.9121.8452.1 2.174 0.0504149.70.8140.4317

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Answered: In this regression, which predictor(s)…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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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
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In this regression, which predictor(s) is/are significant? Coefficients: (Intercept) time pub Estimate Std. Error 43082.4 982.9 121.8 t value Pr(>|t|) 3099.5 13.900 9.26e-09 452.1 2.174 0.0504 149.7 0.814 0.4317