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   1 ## For the Cars93 (MASS) data set, answer the following:
   2 ## For MPG.highway modeled by Horsepower, find the simple regression
   3 ## coefficients. What is the predicted mileage for a car with 225 horsepower?
   4 
   5 require(MASS)
   6 
   7 
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   9 
  10 
  11 
  12 
  13 
  14 ## Fit the linear model with MPG.highway modeled by Weight.
  15 ## Find the predicted highway mileage of a 6,400 pound HUMMER H2 and
  16 ## a 2,524 pound MINI Cooper.
  17 
  18 
  19 
  20 
  21 
  22 
  23 
  24 
  25 
  26 
  27 ## Fit the linear model Max.Price modeled by Min.Price.
  28 ## Why might you expect the slope to be around 1 ?
  29 
  30 
  31 
  32 
  33 
  34 
  35 ## For the data set MLBattend (UsingR) concerning major league baseball
  36 ## attendance, fit a linear model of attendance modeled by wins.
  37 ## What is the predicted increase in attendance if a team that won 80
  38 ## games last year wins 90 this year?
  39 
  40 
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  47 
  48 ## People often predict children’s future height by using their
  49 ## 2-year-old height. A common rule is to double the height.
  50 ## Table 10.2 contains data for eight people’s heights as 2-year-olds
  51 ## and as adults. Using the data, what is the predicted adult height
  52 ## for a 2-year-old who is 33 inches tall?
  53 
  54 data <- data.frame(age2 = c(39,30,32,34,35,36,36,30),
  55                    adult = c(71,63,63,67,68,68,70,64))
  56 
  57 
  58 
  59 
  60 
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  64 
  65 ## With the \texttt{rmr} (ISwR) data set, plot metabolic rate versus
  66 ## body weight. Fit a linear regression model to the relation. According
  67 ## to the fitted model, what is the predicted metabolic rate for a body
  68 ## weight of 70 kg? Give a 95\% confidence interval for the slope of the line.
  69 
  70 require(ISwR)
  71 
  72 
  73 
  74 ## In the juul (ISwR) data set, fit a linear regression
  75 ## model for the square root of the IGF-I concentration versus age
  76 ## to the group of subjects over 25 years old.
  77 ## look at the use  of  the subset argument in this tutorial:
  78 ## http://ww2.coastal.edu/kingw/statistics/R-tutorials/simplelinear.html
  79 
  80 
  81 
  82 
  83 
  84 ## In the malaria data set, analyze the log-transformed antibody level
  85 ## versus age. Make a plot of the relation. Do you notice anything peculiar?
  86 

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