The residual is the difference between the plotted point and the line of best fit.
We first need to know the point at x=5 for the line of best fit.
y1 = -(5) - 3 = -8
Now we need to find the difference between the line of best fit and the plotted point.
residual = 9 -(-8) = 9 + 8 = 17 or C
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:
1/4x9=9/4 2 1/4, 2.25, (3/2)2
Step-by-step explanation:
The answer is 9/4 when you multiply it. But it can also be simplified as one of the answers here I wrote above.
Answer:
X + X + 1 + X + 2 = 72
3X + 3 = 72
3X + 3 - 3 = 72 - 3
3X = 69
3X/3 = 69/3
X = 23
Step-by-step explanation:
To solve for X, you first add the integers together and the X variables together. Then you subtract three from each side, followed by dividing by 3 on each side.
1) Since in the USA 8 x 10 ^9 messages are sent every month, that means that approximately 8 billion messages are sent.
2) We can Prime factorize it:
Note that on the right side we've picked only prime numbers. In this case, 2 and 5.
So we can rewrite 8 x 10^9 as prime factors.
3) Hence, the answer is:
