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Given the following R code:   library(tidyverse)   library(broom)   library(Lahman)   Teams_small <- Teams %>% filter(yearID %in% 1961:2001) %>% mutate(avg_attendance = attendance/G)   Fit a multivariate regression determining the effects of runs per game, home runs per game, wins, and year on average attendance. Use this model to predict average attendance for teams in 2002 in the original Teams data frame. What is the correlation between the predicted attendance and actual attendance? SHOW YOUR CODE

Given the following R code:   library(tidyverse)   library(broom)   library(Lahman)   Teams_small <- Teams %>% filter(yearID %in% 1961:2001) %>% mutate(avg_attendance = attendance/G)   Fit a multivariate regression determining the effects of runs per game, home runs per game, wins, and year on average attendance. Use this model to predict average attendance for teams in 2002 in the original Teams data frame. What is the correlation between the predicted attendance and actual attendance? SHOW YOUR CODE

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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Given the following R code:

 

library(tidyverse)

 

library(broom)

 

library(Lahman)

 

Teams_small <- Teams %>% filter(yearID %in% 1961:2001) %>% mutate(avg_attendance = attendance/G)

 

Fit a multivariate regression determining the effects of runs per game, home runs per game, wins, and year on average attendance. Use this model to predict average attendance for teams in 2002 in the original Teams data frame. What is the correlation between the predicted attendance and actual attendance? SHOW YOUR CODE.

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