Answer:
C) 
Step-by-step explanation:
Line of best fit (trendline) : a line through a scatter plot of data points that best expresses the relationship between those points.
All the given options for the line of best fit are linear equations.
Therefore, we can add the line of best fit to the graph (see attached), remembering to have roughly the same number of points above and below the line.
Linear equation: 
(where
is the slope and
is the y-intercept)
From inspection of the line of best fit, we can see that the y-intercept (where x = 0) is approximately 8. So this suggests that options C or D are the solution.
We can also see that the slope (gradient) of the line of best fit is approximately -0.5 (as the rate of change (y/x) is -1 unit of y for every +2 units of x).
Therefore, C is the solution, and the closet approximation to the line of best fit is 
Answer:
0.428o
Step-by-step explanation:
hope this helps
Answer:
-0.38
Step-by-step explanation:
0.6-(0.7)(1.4)
0.6-0.98
-0.38
Answer:
y - 7 = 3(x + 3) and y = 3x + 16
Step-by-step explanation:
Find the slope first:
As we go from (–3, 7) to (1, –5), x increases by 4 and y increases by 12. Hence, the slope is m = rise / run = 12 / 4, or m = 3.
Next, modify the point-slope form y - k = m(x - h) by inserting the given info:
y - 7 = 3(x -[-3]), or
y - 7 = 3(x + 3)
Note: (h, k) represents the given point, which I have chosen to be (-3, 7).
Next, convert this result to slope-intercept form. Begin by solving this equation for y: y = 7 = 3x + 9, or:
y = 3x + 16