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
Learn more :brainly.com/question/18405415
Answer:
1, 1/5
Step-by-step explanation:
75% = 75/100÷ 5= 15/20 ÷5= ¾. does this help? hope it does
hope it helps :)
Step-by-step explanation:
The standard form for a line is Ax+By=C
First, we need to find the slope, or change in y over change in x. For the first one, this is
, which is impossible to find as we cannot divide by 0, meaning that this is constant horizontally -- in this case, x=2. Thus, we have 1*x+0*y=2.
For the second one, we can find the slope by getting
. We can then take the point (3,0) (it can be any point on the line) and get our equation to be y-0 = (-2/3) (x-3). Converting this to standard form, we can expand this to get
y= (-2/3)*x +2
(-2/3)*x+1*y = 2
