No. y=x would mean it would either be (-2,-2) or (0,0). basically they have to be the same.
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:
16π
Step-by-step explanation:
Area = πr²
r - radius
r = d/2 = 8/2 =4
Area = 4²π = 16π
The slope is 4/6 because its going up by 4 over by 6 .hope this helps
Answer:
f⁻¹(x) = x+2 / 3
Step-by-step explanation:
i dont have one. i just did it.