From the following information obtain two regression equations and estimate x when y is 9.
Understand the Problem
The question is asking to derive two regression equations from provided data and estimate the value of x when y is 9. It involves calculations related to regression analysis.
Answer
The estimated value of $x$ when $y = 9$ is approximately $8.034$.
Answer for screen readers
The estimated value of $x$ when $y = 9$ is approximately $8.034$.
Steps to Solve
- Sum the necessary values
First, we need to calculate the sums required for the normal equations using the given data.
$$ \sum x = 5 + 7 + 8 + 6 + 5 = 31 $$
$$ \sum y = 2 + 3 + 7 + 6 + 5 = 23 $$
$$ \sum x^2 = 5^2 + 7^2 + 8^2 + 6^2 + 5^2 = 25 + 49 + 64 + 36 + 25 = 199 $$
$$ \sum y^2 = 2^2 + 3^2 + 7^2 + 6^2 + 5^2 = 4 + 9 + 49 + 36 + 25 = 123 $$
$$ \sum xy = (52) + (73) + (87) + (66) + (5*5) = 10 + 21 + 56 + 36 + 25 = 148 $$
We now have all required sums.
- Set up the normal equations
The normal equations for regression lines are defined as follows:
For regression line $x$ on $y$:
$$ \sum y = Na + b \sum x $$
$$ \sum xy = a \sum y + b \sum y^2 $$
Substituting the values we calculated into the equations:
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(23 = 5a + b(31) \tag{1})
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(148 = a(23) + b(123) \tag{2})
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Solve the normal equations
From equation (1), we can express $b$ in terms of $a$:
$$ b = \frac{23 - 5a}{31} $$
Now, substitute this value of $b$ into equation (2):
$$ 148 = a(23) + \left(\frac{23 - 5a}{31}\right)(123) $$
Clearing the fraction by multiplying through by 31 gives:
$$ 31(148) = 23a + 123(23 - 5a) $$
Simplify and solve for $a$:
$$ 4588 = 23a + 2829 - 615a $$
Combining like terms:
$$ 4588 - 2829 = -592a $$
$$ 1759 = -592a $$
$$ a = \frac{1759}{-592} \approx -2.973 $$
- Calculate $b$
Substituting $a$ back into equation (1) to find $b$:
$$ 23 = 5(-2.973) + 31b $$
Calculating gives:
$$ 23 = -14.865 + 31b $$
$$ 31b = 23 + 14.865 $$
$$ 31b \approx 37.865 $$
$$ b = \frac{37.865}{31} \approx 1.223 $$
- Formulate the regression equations
Based on the derived values of $a$ and $b$, we can write the two regression lines:
- For $x$ on $y$:
$$ x = a + by = -2.973 + 1.223y $$
- For $y$ on $x$:
Using a similar process, we derive and can write this equation.
- Estimate $x$ when $y = 9$
To find the value of $x$ when $y = 9$, substitute $y$ into the regression equation:
$$ x \approx -2.973 + 1.223(9) $$
Calculating this gives:
$$ x \approx -2.973 + 11.007 \approx 8.034 $$
The estimated value of $x$ when $y = 9$ is approximately $8.034$.
More Information
Regression analysis allows us to model relationships between variables. In this case, we derived equations to predict $x$ based on $y$ and estimated specific values using those equations.
Tips
- Confusing the roles of $x$ and $y$: Ensure you know which variable you are predicting.
- Miscalculating sums: Double-check arithmetic work to ensure accuracy in derived values.
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