It depends really. If you stay close to the present, then predicting future results isn't too bad. The further you go out, the more unpredictable things get. This is because the points may deviate from the line of best fit (aka regression line) as time wears on. Of course, it also depends on what kind of data we're working with. Some pairs of variables are naturally going to correlate very strongly together. An example would be temperature versus ice cream sales.
Answer:
1.125 ounces
Step-by-step explanation:
4.5 ounces divided by 4
Answer:
The "power rule" tells us that to raise a power to a power, just multiply the exponents. Here you see that 52 raised to the 3rd power is equal to 56.
Step-by-step explanation:
Answer:
![\left[\begin{array}{ccc}1&\frac{3}{4}\\2&\frac{9}{16}\\3&\frac{27}{48}\\4&\frac{81}{144}\end{array}\right]](https://tex.z-dn.net/?f=%5Cleft%5B%5Cbegin%7Barray%7D%7Bccc%7D1%26%5Cfrac%7B3%7D%7B4%7D%5C%5C2%26%5Cfrac%7B9%7D%7B16%7D%5C%5C3%26%5Cfrac%7B27%7D%7B48%7D%5C%5C4%26%5Cfrac%7B81%7D%7B144%7D%5Cend%7Barray%7D%5Cright%5D)
Step-by-step explanation:
It is basically substituting the numbers in the function.
For 1, it will be
Same for the rest.
