Answer:
Step-by-step explanation:
10/27
Total age
<span>6 * 27 </span>
<span>162 </span>
<span>Subtotal age of first 4 </span>
<span>4 * 23 </span>
<span>92 </span>
<span>Subtotal of last 3 </span>
<span>3 * 34 </span>
<span>102 </span>
<span>In the total of the first 4 and last 3 </span>
<span>the 4th person has been counted twice. </span>
<span>This second time must be subtracted. </span>
<span>Therefor </span>
<span>92 + 102 - x = 162 </span>
<span>194 - x = 162 </span>
<span>Subtract 194 from both sides </span>
<span>-x = -32 </span>
<span>Multiply both sides by -1 </span>
<span>x = 32
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Price of movie ticket in Japan is x=7.362$
Price of movie ticket in Switzerland is y=13.652$
Step-by-step explanation:
Let, Price of movie ticket in Japan is x
Price of movie ticket in Switzerland is y
Statement 1 : Total of 79.39$ of three movie ticket in Japan and two movie ticket in Switzerland
We write, 3x+2y=79.39 ( Equation 1 )
Statement 1 : Total of 75.68$ of two movie ticket in Japan and three movie ticket in Switzerland
We write, 2x+3y=75.68 ( Equation 2 )
Solving by method of elimination
Multiplying equation 1 by 2, we get
6x+4y=158.78
Multiplying equation 2 by 3, we get
6x+9y=227.04
Subtracting both the linear equation,
6x+4y=158.78
- 6x+9y=227.04
_______________
0x-5y=(158.78-227.04)
-5y=(-68.26)
5y=68.26
y=13.652$
Replacing value of y in any equation
3x+2y=79.39
3x+2(13.652 )=79.39
x=17.362$
Thus,
Price of movie ticket in Japan is x=7.362$
Price of movie ticket in Switzerland is y=13.652$
You need to use the distance formula which is √(x2-x1)^2+(Y2-y1)^2
false
Answer:
Step-by-step explanation:
The slope represents how much y is predicted to change on average for each 1 unit in x.
y = appraised value of a house in East Meadow County
x = # of rooms
1 unit of x = 1 additional room
1 unit of y = $1,000
slope = 19.79
Answer: Each additional room in a house in East Meadow County is predicted to increase the appraised value by 19.79 x $1,000 = $19,790, on average.
Note: Since we only sampled homes in East Meadow County, our regression equation is only good to predict appraised values in that county. So, our interpretation must include that fact.
