Answer:
a. Use the regression equation
Step-by-step explanation:
Given
See attachment for missing part of question
Required
What can be used to predict diameter, given family income
We can see (by observation) that the data on the table can only be represented on a scattered plot, and scattered plot uses regression equation for data prediction.
i.e. 
--- equation of line of best fit
In this case;
<em>When the x value (income) is known, we can simply plug in the value in the above equation to get the y value (diameter)</em>
Answer:
-2.64
Step-by-step explanation:
6 percent of 7 is 86% so the percentage error is 24%
Answer:
then u help me
Step-by-step explanation:
In both cases you may well benefit from graphing the functions.
Do you recognize f(x) = (x + 1)^2 - 1 as a quadratic function, whose graph is that of a parabola that opens up? By comparing this to y = a(x-h)^2 + k, we see that a=1, h= -1 and k = -1. The vertex is at (h,k), which here is the point (-1, -1). This is the minimum value of the function. Thus, the range of this function is [-1, infinity).
Now for the function f(x) = 7x - 11: This is a linear function whose graph is (surprise!) a straight line. When x increases, y increases, without limits to either. Similarly, when x decreases, y decreases.
Thus the range includes all real numbers: (-infinity, infinity).
