Answer:
25.920 W
Step-by-step explanation:
Fill in the given number and do the arithmetic.
P = f(12) = 0.015(12^3) = 25.920 . . . . . watts
Answer:
35 lbs is the final weight
Step-by-step explanation:
20 +23 = 43 lbs
Then they had to remove 8 lbs
43 - 8 =35
35 lbs is the final weight
Answer:
G
Step-by-step explanation:
Co linear means that a point is on the same line as some given point.
AY forms a line segment and is part of EG which is a diagonal of the base..
Therefore AY and G are all colinear. The answer you want is G.
When calculating correlation and regression both sets of data must be Statistical.
According to the statement
we have to find the type of data when we calculate the correlation and regression both sets.
so, The difference between these two statistical measurements is that correlation measures the degree of a relationship between two variables (x and y), whereas regression is how one variable affects another.
And when we calculate both then data sets must be a statistical data. because correlation summarizing direct relationship between two variables and regression predict or explain numeric response. So, without statistical data this is not possible to calculate correlation and regression both sets.
so, When calculating correlation and regression both sets of data must be Statistical.
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