a) Additive response models don’t make much sense if the response is discrete, or strictly positive
b) Transformations are often easy to interpret in linear model
c) Regression models are used to predict one variable from one or more other variables
d) All of the mentioned
Answer: b
Explanation: Transformations are often hard to interpret in linear model.
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What is the output of the given code?
counter=1
if counter<=5
puts (counter)
counter=counter+1What is the output of the given code?
if(a==10 && b=9)
print “true”
else
print “false”
endWhich of the following are used for comparison?
What is the output of the given code?
a=10
b=9
if(a>b)
print (“a greater than b”)
else
print “Not greater”
endAssignment operator is also known as relational operator.
What is the output of the given code?
a=”string”
b=”strings”
if(a==b)
print (“a and b are same”)
else
print “Not same”
endWhat is the output of the given code?
test_1 = 17 > 16
puts(test_1)
test_2 = 21 <= 30
puts(test_2)
test_3 = 9 >= 9
puts(test_3)
test_4 = -11 > 4
puts(test_4)
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