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:
Step-by-step explanation:
Kzndldnxkdlxnxnxi
Answer:
first use the equation m = y2 - y1 / x2- x1 to get the slope
m = -2 - 2 = -4
m = 3 + 7 = 10 when there is a negative for x1 it turns positive
the slope is -4/10 or -2/5
now plus the info into the point slope equation
y - y1 = m (x-x1)
this is in point slope form y - 2 = -2/5 (x + 7)
This is how to get it in y-intercept form
y -2 = -2/5x + -2.8
now add -2 on both sides to the -2.8
y = -2/5x (Slope) + -0.8 y- intercept
Hopefully this is right becuase this is just what i learned
Step-by-step explanation:
Answer:
a) 12 (Simply divide 4800/5 to get 960. Then divide 960/80 to get 12)
b) 2100 (Simply multiply 12 by 25 by 7)
Hope it helps <3
Answer:
0
Step-by-step explanation: