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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42/4
DIVIDE THE TOP BY THE BOTTOM NUMBER. 42/4= 10 WITH 2 LEFT OVER
10 2/4 REDUCE BY DIVIDING BY 2
THE ANSWER IS 10 1/2
SORRY IT WOULD NOT LET ME EDIT
Answer:
to simplify 2m - [n - (m - 2n)], you have to go though this steps:
2m - [n - (m - 2n)] = 2m - [n - m + 2n] = 2m - n + m - 2n = 3m - 3n
Step-by-step explanation:
A. No because an 117-foot ladder is needed but the truck has only a 95-foot ladder.
B. No because an 96-foot ladder is needed but the truck has only a 95-foot ladder.
C. Yes because only a 75-foot ladder is needed and the truck has a 95-foot ladder.
D. Yes because only a 91-foot ladder is needed and the truck has a 95-foot ladder.
Answer:
I guess the ans d is correct because using pythagoras theorem we get 91.26 ft .