20 POINTS PLEASE HELP TWO QUESTIONS!!!!

1. A scatter plot with a line is shown below.

[Graph shows numbers from 0 to 10 at increments of 1 on the x axis and number s from 0 to 15 at increments of 1 on the y axis. Scatter plot shows ordered pairs 0, 1 and 1, 2 and 2, 3 and 3,4 and 4, 4 and 5, 6 and 6, 8 and 7, 8 and 8, 11 and 9, 13 and 10, 15. A line joins ordered pairs 0, 0 and 8, 15.]

Which statement is most likely correct about the line?

[I think the answer is A]
It can be the line of best fit because it is closest to most data points.
It can be the line of best fit because it passes through all the scatter points.
It cannot be the line of best fit because it does not show positive association.
It cannot be the line of best fit because it is not closest to most of the points.

2. A scatter plot is shown below:

[A graph shows numbers from 0 to 10 on the x axis at increments of 1 and the numbers 0 to 15 on the y axis at increments of 1. The ordered pairs 0, 14 and 1, 12 and 2, 12 and 3, 13 and 4, 10 and 5, 8 and 6, 5 and 7, 7 and 8, 3 and 9, 3 and 10, 0 are shown on the graph.]

Which two ordered pairs can be joined to best draw the line of best fit for this scatter plot?
[I think the answer is A]
(0, 15) and (10, 1)
(0, 15) and (10, 13)
(0, 10) and (5, 0)
(0, 10) and (10, 10)

Respuesta :

Answer:

It cannot be the line of best fit because it is not closest to most of the points; and (0, 15) and (10, 1)

Step-by-step explanation:

A screenshot of the first question is attached.

Graphing the points and drawing the line that is supposed to be the line of best fit, we can see that it is not very close to the majority of the points.  This means it should not be used as the line of best fit.

For the second question, if we graph the points and draw a line between the first two, we get the second screenshot I've attached.  It goes through the majority of points.  However, if we draw a line through any of the other pairs of points, it does not go through the majority of points and thus would not be a line of best fit.

Ver imagen MsEHolt
Ver imagen MsEHolt

Answer:

Option A (It can be a line of best fit because it is closest to most data points.)

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