R Console Use R to perform a linear regression analysis with dependent variable tip (Y) and independent variable tolls X
Posted: Mon Jan 17, 2022 8:09 am
Question 8 1 pts Call te formula - odtolls - Stip) Use R to perform a linear regression analysis with dependent variable fare (Y) and Independent variable duration (X) Is duration a significant predictor of fare? No, the value associated with the confident of fare is very smat Resideos NAR 10 Medion Mex I 30.9389-6.3946.1153 0.1387 20.1387 Coefficients Fitte Std. Error volue Proti Cintercept) 0.1347296 0.1021640 64.13 ostin 0.25098850.000733734737 2-16 - Significades a 0.001 01.01. Residual standard error! 1.119 453195 degrees of redan Multiple Rooned: 0.2101, Adjusted Roured: 0.2103 F-statistic 1.27.0 on 1 od 453195 OF. volue: 2.2-16 Yes, the independent variable duration lus at least one Yes, duration a positive confident No, the independent variable duration has no stars
R Console Use R to perform a linear regression analysis with dependent variable tip (Y) and independent variable tolls X. How would you interpret the intercept of this model? -D SumaryCit) We cannot always interpret the intercept When no toll is paid tolls-501, the average tip is $147 Call: Informutadduration - Sfane) Residuals: Min 10 Median 30 Max -257.67 -0.73 2.01 1434.15 Coefficients: Estimate Std. Errort value Priti) (intercept) 2.58665 0.02.1900 1071 2e-16 dsfare 0.948325 0.001441 6582 20.16 Siani codes * 0.001 0.01 0.05 0.1 When no toll is paid tolls-50), the average tip is 5.83 When a tollis paid, the average tip is $1,47 Residual standard error: 10.03 on 453195 degrees of freedor Multiple R-squared: 0.0 Adjusted squared: 0.4827 F-statistic 4.3320-25 on 1 and 453195 DF, p-value: 2.2-16 Fit - incastolls - SD sudrys