Answer:
the answer is 92 rounded up
Answer:
The best predicted selling price of a home having a list price of $22 million is $20.52 million.
Step-by-step explanation:
The missing data is:
List price (<em>x</em>) (millions of $)
(1) 1.6 (2) 4.2 (3) 2.1 (4) 1.6 (5) 2.3 (6) 4
Selling price (<em>y</em>) (millions of $)
(1) 2 (2) 4.6 (3) 1.8 (4) 1.9 (5) 2.4 (6) 3.6
Use Excel to perform the regression analysis.
The significance level is, <em>α</em> = 0.05.
The regression output is attached below.
The regression equation is:

The value of <em>t</em>-statistic is:
<em>t</em> = 0.676.
The <em>p</em>-value is:
<em>p</em>-value = 0.536
Compute the predicted selling price of a home having a list price of $22 million as follows:


Thus, the best predicted selling price of a home having a list price of $22 million is $20.52 million.
Answer:

The graph is attached.
Step-by-step explanation:
Let be "x" the number of metamorphic samples and "y" the number of sedimentary samples.
You know that you want to to have at most 25 samples, then:

And you want to have at least 3 times as many sedimentary samples as
metamorphic samples, then:

Therefore, the system of inequalities that model the situation is:

The y-intercept of the line
is:

And the x-intercept is:

Knowing this, you can graph the line
The y-intercept of the line
is:

And the x-intercept is:

Knowing this, you can graph the line.
Observe the graph attached, where the solution of the system of inequalities is the intersection of the regions.
Answer:
hexagon
Step-by-step explanation:
A hexagon has six vertices. Hope that this helps you and have a great day