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Suppose we have a response variable Y and an explanatory factor x. which has four levels. We ran the following code in R: mymodel <- Im(Y X) Which of the following statements is FALSE.

Suppose we have a response variable Y and an explanatory factor x. which has four levels. We ran the following code in R: mymodel <- Im(Y X) Which of the following statements is FALSE.

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Suppose we have a response variable Y and an explanatory factor x. which has four levels. We ran the following code in R: mymodel <- 1m(Y X) Which of the following statements is FALSE. O mymodel has four regression coefficients. O The t value column of summary(mymodel) gives the t-statistic to test the null hypothesis that the true value of the regression coefficient is zero. O The value of the fourth regression coefficient in the summary(mymodel) output is the estimated difference between the expected values of Y at level 4 and level 3 of X. O The Pr(>|t|) values in summary(mymodel) are the p-values for the null hypothesis that the true value of the regression coefficient is zero. O By default, the estimated value of the intercept is the fitted value for the first level of X.
Transcribed Image Text:Suppose we have a response variable Y and an explanatory factor x. which has four levels. We ran the following code in R: mymodel <- 1m(Y X) Which of the following statements is FALSE. O mymodel has four regression coefficients. O The t value column of summary(mymodel) gives the t-statistic to test the null hypothesis that the true value of the regression coefficient is zero. O The value of the fourth regression coefficient in the summary(mymodel) output is the estimated difference between the expected values of Y at level 4 and level 3 of X. O The Pr(>|t|) values in summary(mymodel) are the p-values for the null hypothesis that the true value of the regression coefficient is zero. O By default, the estimated value of the intercept is the fitted value for the first level of X.
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