Line of best fit also known as a linear regression or a trend line, the line of best fit is common tool for showing how two variables are related.This can be established by:
Positive correlation
all scatter plots
negative correlation
Line of best fit is used in order to demonstrate any observed trends in order to predict future outcomes regarding the data point variable in use.
Answer:
178.3 mm²
Step-by-step explanation:
Surface area = Base area + 3 x side triangles area
Sₐ = 43.3 + 3 x (1/2 x (10 x 9)) = 43.3 + (3 x 45) = 178.3
Answer:
y – 3 = 2(x – 10)
Step-by-step explanation:
In point-slope form, the equation is written ...
y -k = m(x -h) . . . . . . . for line with slope m through point (h, k)
If only the slope changes, only the value just outside parentheses changes. When the point is (10, 3) and the new slope is 2, the new equation is ...
y -3 = 2(x -10)
Answer:36
becuse if you maltiply 15 by 3 it makes 45 and you can maltiply 12 by 3 and you will get your answer
The answer is 0.1 i think
