Math Problem Statement

The quadratic regression equation that models these data is: ŷ = -0.34x^2 + 4.43x + 3.46. Using this quadratic regression equation, what was the predicted profit in year 4?

Solution

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Problem Summary:

  • We are given a quadratic regression equation for predicting the profit y^\hat{y} of a company based on the number of years xx: y^=0.34x2+4.43x+3.46\hat{y} = -0.34x^2 + 4.43x + 3.46
  • We need to find the predicted profit for year 4.

Calculation:

Plugging x=4x = 4 into the equation:

y^=0.34(4)2+4.43(4)+3.46\hat{y} = -0.34(4)^2 + 4.43(4) + 3.46

I'll perform the calculation.The predicted profit for year 4 using the given quadratic regression equation is approximately $15.74 million.

The correct answer is Option B: $15.74 million.

Would you like more details or have any other questions? Here are some related questions you might find interesting:

  1. How do you derive a quadratic regression equation from data points?
  2. What are the key components of a quadratic equation?
  3. How does the coefficient of x2x^2 influence the shape of a quadratic graph?
  4. What is the importance of using regression analysis in business forecasting?
  5. How can residuals help in assessing the accuracy of a regression model?

Tip: Always check the fit of the regression model by analyzing residuals and ensuring no systematic patterns remain unmodeled.

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Math Problem Analysis

Mathematical Concepts

Algebra
Quadratic Equations
Regression Analysis

Formulas

Quadratic regression equation ŷ = ax^2 + bx + c

Theorems

Quadratic equation formula

Suitable Grade Level

Grades 10-12