The regression equation is [tex]\^y = 1.56\^x + 1.29[/tex], and it will take 31 weeks to have $50.00
(a) The linear regression equation
To do this, we make use of a graphing calculator;
From the graphing calculator, we have the following calculation summary:
- The sum of X = 45
- The sum of Y = 83
- Mean X = 4.5
- Mean Y = 8.3
- Sum of squares (SSX) = 82.5
- Sum of products (SP) = 128.5
The regression equation is then represented as:
[tex]\^y = b\^x + a[/tex]
Where:
[tex]b = \frac{SP}{SSX}[/tex] and [tex]a = M_Y - bM_X[/tex]
So, we have:
[tex]b = \frac{128.5}{82.5}[/tex]
[tex]b = 1.55758[/tex]
Approximate
[tex]b = 1.56[/tex]
[tex]a= 8.3 - (1.56 \times 4.5)[/tex]
[tex]a= 1.29091[/tex]
Approximate
[tex]a= 1.29[/tex]
This means that, the regression equation is [tex]\^y = 1.56\^x + 1.29[/tex]
(b) Predict the time to have $50.00
This means that:
[tex]\^y = 50[/tex]
So, we have:
[tex]50 = 1.56\^x + 1.29[/tex]
Subtract 1.29 from both sides
[tex]48.71 = 1.56\^x[/tex]
Divide both sides by 1.56
[tex]31.22 = \^x[/tex]
Rewrite as:
[tex]\^x = 31.22[/tex]
Approximate
[tex]\^x = 31[/tex]
Hence, it will take 31 weeks to have $50.00
Read more about linear regression models at:
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