The linear regression model gives mathematical relationship between two variables, the dependent<em> and </em>independent<em> variables</em>. The linear models between the <em>quantity sold and the variables average price, disposable income and monthly advertising are</em> :
- <em>y = - 4713.46x + 117763</em>
- <em>y = 2.94x - 58384</em>
- <em>y = - 1.75x - 32655</em>
To create a linear model using the data given, we use technology such as a excel or a linear regression calculator :
The linear model created using a linear regression calculator between each of the independent variables and quantity sold are :
<u>Average price of deep - dish and Quantity sold :</u>
- Average price of deep - dish pizza(X)
- Quantity sold (Y)
y = - 4713.46x + 117763
<u>Disposable income and Quantity sold</u> :
- Disposable income (X)
- Quantity sold (Y)
y = 2.94x - 58384
<u>Monthly advertising expenditure and Quantity sold</u> :
- Monthly advertising cost (X)
- Quantity sold (Y)
y = - 1.75x - 32655
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Answer:
W { 2,3}
Step-by-step explanation:
The elements in W are the integers between 2 and 4 and including 2
That would be 2 and 3
W { 2,3}
Answer:
Below
Step-by-step explanation:
● x-20 = y+20 (1)
● 2(y-22) = x+22 (2)
This is a system of simulataneous equations
Let's simplify the expressions first
● x -20 = y + 20 (1)
Add 20 to both sides
● x -20 + 20 = y+20 +20
● x = y + 40 (1)
● 2(y-22) = x+22 (2)
● 2y - 44 = x +22
Substrat 22 from both sides
● 2y-44-22 = x+22-22
● 2y -66 = x (2)
This is the new system:
● x = y+40 (1)
● x = 2y-66 (2)
Substract (2) from (1)
● x-x = y+40-(2y-66)
● y+40-2y+66 = 0
● -y +106 = 0
● y = 106
Replace y with 106 in (1)
● x = y +40
● x = 106+40
● x = 146
So the solutions are (146,106)
First, You Do 10 and 12 in the parentheses, then subtract 8 and multiply 7. Then This Equals 146. Hope this helps :)
Answer:
x=47, y=68
Step-by-step explanation:
Add the two equations. Then we get
-y=-68
y=68
Substituting the value of y in the first equation,
8x-6(68)=-32
8x-408=-32
8x=376
x=47
