–12 ÷ 3 • [–8 + (–4)² ∧ 6] + 2
According to PEMDAS, (Parenthesis, Exponents, Multiplication and Division, Addition and Subtraction) we need to solve the exponent in the parenthesis first.
-12 ÷ 3 • [-8 + 16 - 6] + 2
-12 ÷ 3 • [-8 + 10 ] +2
-12 ÷ 3 • 2 + 2
-4 • 6 + 2
-24 + 2 = - 22
Hope this helps!
Answer:
the additional footage is called B-roll
Based on the data, the most likely correlation coefficient would be -1.
The slope between 20 and 30 days is -1, and it represents the change in the surface area of the lake per day.
The data represents correlation, not causation.
Since the data would form a perfectly straight line through the points, the correlation coefficient would be -1 for a perfect decreasing fit.
To find the slope, find the change in the surface area between those days, the change in the days, and write it as surface area/days: 80-90=-10; 30-20=10; -10/10=-1
This is not causation because there could be lurking variables we cannot see.
$46 with 2.9% tax is:
($46 * 0.029) + $46 = $47.334
2.9% is the same as 0.029, since % means divide by 100 (move decimal 2 places to the left).
You first multiply by 0.029 to see how much the tax is, then you add back the original $46.
<u><em>Answer: the answer is 10! B)X=10 </em></u>
