$g(x) = \sqrt[3]{x} - 3 \\ \\ x = \sqrt[3]{y} - 3 \\ \sqrt[3]{y} = x + 3 \\ y = {(x + 3)}^{3} \\ y = {(x + 3)}^{2} (x + 3) \\ y = ({x}^{2} + 6x + 9)(x + 3) \\ \\ y = {x}^{3} + 6 {x}^{2} + 9x + 3 {x}^{2} + 18x + 27 \\ \\ y = {x}^{3} + 9 {x}^{2} + 27x + 27 \\ \\ \\ g(x)^{ - 1} = {x}^{3} + 9 {x}^{2} + 27x + 27$

I hope I helped you^_^

8 0

3 years ago

This technique makes no a priori assumption of whether one variable is dependent on the other(s) and is not concerned with the r

Pepsi [2]

Answer:

d. Correlation

Step-by-step explanation:

Based on the information being provided it can be said that this technique provides the correlation between two or more variables. Correlation explains any statistical relationship that exists between two different variables or sets of data, whether it is casual or not. Many times it is the degree to which a pair of variables are linearly related

8 0

3 years ago