The residual value is -1.8 if the line of the best fit is y = 1.6x - 4 and the actual value is -1 option first is correct.
A mathematical notion called the line of the best fit connects points spread throughout a graph. It's a type of linear regression that uses scatter data to figure out the best way to define the dots' relationship.
The missing data:
The line of the best fit is:
y = 1.6x - 4
When x = 3
Plug x = 3 in the above line equation:
y = 1.6(3) - 4
y = 4.8 - 4
y = 0.8
Now the residual value = actual value - expected value
= -1 -0.8
= -1.8
Thus, the residual value is -1.8 if the line of the best fit is y = 1.6x - 4 and the actual value is -1
Learn more about the line of best fit here:
brainly.com/question/14279419
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