Hi There!
Answer:
f(x) = 2/3x - 2
Step-by-step explanation:
The reason I chose option A is because of the fact that the slope is 2/3 then you notice that the y intercept is -2. You will want to subtract 2 instead of putting + -2 because it makes more sense and its more simplified.
Hope This Helps :)
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:
t = 2, t = 3, t = 4, and t = 6.
Step-by-step explanation:
So, we can plug in each t value into the equation to see if it is correct.
9(2) ≤ 107
18 ≤ 107
This is correct because the equation is looking for something that is less than or equal to 107.
9(3) ≤ 107
27 ≤ 107
Same reason as stated above.
9(4) ≤ 107
36 ≤ 107
Same reason as stated above.
9(6) ≤ 107
54 ≤ 107
Same reason as stated above.
Therefore, t = 2, t = 3, t = 4, and t = 6 are all solutions to the inequality.
Okay bb
Ummm I think the answer is