Answer:
Below.
Step-by-step explanation:
f(x) = |x| This is shaped like a V with the vertex at (0,0).
f(x) = |x| + 3 this is also shaped live a V with the vertex at (0, 3).
(This is |x| translated up 3 units).
f(x) = |x| - 6 similar to the above with the vertex at (0, -6).
(This is |x| translated down 6 units).
Step-by-step explanation:
f(1)=(3×1)+1=4
so f(g(1)=4
<h2>
Answer with explanation:</h2>
When there is a linear relationship is observed between the variables, we use linear regression predict the relationship between them.
Also, we predict the values for dependent variable by modelling a linear model that best fits the data by drawing a line Y=a+bX, where X is the explanatory variable and Y is the dependent variable.
In other words: The line of best fit is a line through a scatter plot of data points that best describes the relationship between them.
That's why the regression line referred to as the line of best fit.
