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:
can you take a bigger picture i cant see the words
Step-by-step explanation:
Answer:
Sarita’s solution is correct. She made an error in her verification. Sarita was supposed to add the 5 and 7 in the first step.
Step-by-step explanation:
Given the following equation:
The steps to solve it are:
5(x-3)+7(x+4)-73
1. Apply the Distributive property:
5x-15+7x+28=73
2. Add the like terms:
12x+13=73
3. Subtract5 13 from both sides of the equation:
12x+13-(13)=73-(13
12x=60
4. Divide both sides of the equation by 12:
12r/12 = 60/12
x = 5
To verify it, let's substitute into the equation:
5(5-3)+7(5+4)=73
Evaluating, we get:
5(2)+7(9)=73
10+63=73
73=73
Based on this, we can determine that Sarita's solution is correct, but she made an error in her verification (Observe that 5-3 is not equal to -2 )
Answer:
B
Step-by-step explanation:
