Math Problem Statement

Find the predicted value and the residual for each set up data given.  Put your predicted value in the first box and the residual in the second box.  Round to 2 decimal places where necessary.

Find the predicted value and the residual for each set up data given. Put your predicted value in the first box and the residual in the second box. Round to 2 decimal places where necessary.

Solution

The given equation for predicting yy is:

y=0.72x+34.55y = 0.72x + 34.55

We are given that x=87x = 87 and y=95y = 95. To find the predicted value and residual, we will use the following steps:

Step 1: Calculate the Predicted Value

Substitute x=87x = 87 into the equation:

Predicted y=0.72(87)+34.55\text{Predicted } y = 0.72(87) + 34.55 Predicted y=62.64+34.55=97.19\text{Predicted } y = 62.64 + 34.55 = 97.19

So, the predicted value is 97.19.

Step 2: Calculate the Residual

The residual is given by:

Residual=Actual yPredicted y\text{Residual} = \text{Actual } y - \text{Predicted } y Residual=9597.19=2.19\text{Residual} = 95 - 97.19 = -2.19

So, the residual is -2.19.

Final Answers:

  • Predicted: 97.19
  • Residual: -2.19

Would you like further explanation or any additional details?

Here are five related questions you could explore:

  1. How would the predicted value change if xx increased by 10?
  2. What happens to the residual if the actual yy value increases?
  3. How does changing the slope in the equation affect the predicted value?
  4. Can a residual ever be positive, and if so, what does that imply?
  5. How does rounding affect the accuracy of the residual?

Tip: Always check whether rounding instructions are provided, as it can influence final answers when dealing with decimals!

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Math Problem Analysis

Mathematical Concepts

Linear Equations
Statistics

Formulas

y = 0.72x + 34.55
Residual = Actual y - Predicted y

Theorems

Linear Regression Equation

Suitable Grade Level

Grades 10-12