Question: Consider the following regression equation representing the linear relationship between the Canada Child Benefit provided for a married couple with 3 children under the age
Consider the following regression equation representing the linear relationship between the Canada Child Benefit provided for a married couple with 3 children under the age of 6, based on their annual family net income:
=121.090.57246x R2=0.894
where y = annual Canada Child Benefit paid (in $100s)
x = net annual family income (in $1000s)
a.As the net annual family income increases, does the Canada Child Benefit paid increase or decrease? Based on this, is the correlation between the two variables positive or negative?
The Canada Child Benefit paid: (Increase or Decrease)?
The correlation between the two variables is: (Positive or Negative)?
b.Calculate the correlation coefficient and determine if the relationship between the two variables is strong, moderate or weak.
Round to 3 decimal places.
r=________, the relationship is (Strong, moderate or weak)?
c.Interpret the value of the slope as it relates to this relationship.
(Choose one)
1.For every $1 increase in annual family net income, there is a $0.57246 decrease in the Canada Child Benefit paid.
2.For every $100 increase in annual family net income, there is a $572.46 decrease in the Canada Child Benefit paid.
3.For every $1000 increase in annual family net income, there is a $57.746 decrease in the Canada Child Benefit paid.
4.For every $100 increase in annual family net income, there is a $57,246 decrease in the Canada Child Benefit paid.
d.What will be the estimated Canada Child Benefit be (in dollars) for a married couple with 3 children under the age of 6 if the net annual family income is $83,600?
Round to the nearest dollar.
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