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Answer the following questions a , b , c , d with true or false We consider the dataset 'hydrolysis.txt ' , which looks at

Answer the following questions a, b, c, d with true or false
We consider the dataset 'hydrolysis.txt', which looks at the relationship between the content of the amino acid
serine as a function of time (hour) in hours for five different types of feed. Throughout this task, we assume
that the mean of serine can be described by a linear normal model with mean function
( feed, hour )=feed+* hour
corresponding to 'model2' below.
my_data - read.table (file ="../../data/hydrolysis.txt", header = T
head(my_data) # de forste 6 injer i datasettet
## feed hour serine
#t 1 barley 8,4.47
## 2 barley 16,4.34
## 3 barley 24,4.22
itt 4 barley 32,4.10
## 5 barley 72,3.48
## 6 barley 84.46
model1- lm(serine * feed * hour, data = my_data)
model 2-lm(gerine * feed + hour, data = my_data)
W" get_regression_table (model2)
## # A tibble: 63
## tern estinate std_error
## chr>??##1 intercept 4.64,0.025I??# 2 feed: fish -0.262,0.03??##3 feed: mais 0.709,0.03-0.072,0.03??##5 feed: soy 1.06,0.03??##6 hour -0.017,0hat()4.64-0.017H0:=0tt44=50-6( feed, hour )=+feed* hour
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