If a given data point is (1,4) and the line of best fit is y = 1.5x + 3.25, what's the residual value?
1 answer:
Answer:
The residual value is -0.75
Step-by-step explanation:
we know that
The residual value is the observed value minus the predicted value.
RESIDUAL VALUE=[OBSERVED VALUE-PREDICTED VALUE]
where
Predicted value.--> the predicted value given the current regression equation
Observed value. --> The observed value for the dependent variable.
in this problem
we have the point (1,4)
so
The observed value is 4
<em>Find the predicted value for x=1 </em>
predicted value is 4.75
so
RESIDUAL VALUE=(4-4.75)=-0.75
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Answer: There are 1436 bricks that he will need to make a brick wall.
Step-by-step explanation:
Since we have given that
Dimensions of a brick wall is given by
Length = 14.5 feet
Width = 0.5 feet
Height = 5.5 feet
Dimensions of a brick is given by
Length = 6 inch
Width = 4 inch
Height = 2 inch
We need to find the number of bricks :
So, Number of bricks is given by
Hence, there are 1436 bricks that he will need to make a brick wall.