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:
-8.5 = y
Step-by-step explanation:
Answer:
option 1 and option 2 should be correct
To solve for <em>x</em>, we must first isolate the term containing <em>x</em> which in this problem is 5x.
Since 10 is being added to 5x, we subtract 10 from both sides of the equation to isolate the 5x.
On the left, the +10 and -10 cancel out and on the right, 20 - 10 is 10 and we have 5x = 10.
Now we can finish things off by just dividing both sides of the equation by 5. On the left the 5's cancel and on the right, 10 divided by 5 is 2 so <em>x = 2</em>.