The observed amount are At x = 7.9, y = $33.50 and at x = 25.00, y = $25.00 predicted amount are At x = 7.9, y = $26.37 and At x = 12.1, y = $27.63 and residuals are $7.13 and -$2.63.
What is the line of best fit?
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.
Observed amount:
At x = 7.9, y = $33.50
At x = 25.00, y = $25.00
We have a line of best fit:
y=0.3x+24.00
At x = 7.9
Predicated amount:
y = $26.37
At x = 12.1
Predicated amount:
y = $27.63
Residual (when x = 7.9) = $33.50 - $26.37 = $7.13
Residual (when x = 12.1) = $25.00 - $27.63 = -$2.63
Thus, the observed amount are At x = 7.9, y = $33.50 and at x = 25.00, y = $25.00 predicted amount are At x = 7.9, y = $26.37 and At x = 12.1, y = $27.63 and residuals are $7.13 and -$2.63.
Learn more about the line of best fit here:
brainly.com/question/14279419
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