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:
иσ ιт ιѕит тнє ρяσвℓєм α¢тυαℓℓу єqυαℓѕ=3,628,800
Step-by-step explanation:
ι нσρє ι ¢συℓ∂ няℓρ уσυ συт тσ∂αу!!!!!
NOTE: I ACCIDENTALLY clicked one star. That DOES NOT count as a real rating, and this DOES NOT mean my answer is bad!
Answer:
Commutative Property of Addition
Step-by-step explanation:
Step 2: -4 + (-37) + (-3) + (-47) + 7
Step 3: -4 + (-37) + (-47) + (-3) + 7
Because the order was changed, it is the Commutative Property.
