standard form: ax^2+bx+c
vertex form: a(x-h)^2+k
A data point is 1.3 units below the line of best fit.
The line of best fit has a slope of –1.3
The line of best fit has a slope of 1.3.
The residual value of 1.3mean when referring to the lineofbestfit of a data set is that a data point is 1.3 units above the line of a data set. This is because the given residual value is positive. So, the data point is above the best fit line.
A line of best fit refers to a line through a plot of datapoints that best expresses the relationship between those points.
For the given residualvalue of 1.3 mean, a data point is 1.3unitsabove the line of best fit when referring to the line of best fit of a data set. This is because the residual value is positive.
So, Option A is correct.
Learn more about the line of best bit fit here:
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Answer:
Debra can run 10 miles per hour
Step-by-step explanation:
2.5 times 4 = 10
Answer: -3
Step-by-step explanation: I GOT YOU BRO