Given that variance of a data set is:
Variance=σ²
the standard deviation is the square root of the variance:
thus
standard deviation= √(variance)
variance,σ²=104.04
thus
std deviation=√σ²=√104.04
thus
σ=10.2
Answer: it’s C
Step-by-step explanation:
<span>B. -6y = 12 is the asnwer</span>
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.
Answer:
2/3 to the power 8
Step-by-step explanation:
Power : 2 + 6 = 8
