A mathematics teacher wants to analyze…

Mathematics Questions

A mathematics teacher wants to analyze the correlation between test scores and homework grades. Given the homework grade (x) and test grade (y) in the accompanying table, 1. How can I write the linear regression equation for this data, rounding all coefficients to the nearest tenth? 2. Using this equation, what is the projected test grade (to the nearest integer) for a student with a homework grade of 35?

Short Answer

To find the relationship between homework and test grades, use a tool like Excel for linear regression, resulting in an equation like y = 1.20x – 14.32. For estimating the homework grade based on a test score of 68, the homework grade calculated would be approximately 69.

Step-by-Step Solution

Step 1: Use Technology for Linear Regression

To determine the regression equation that models the relationship between homework grade (x) and test grade (y), use a technology tool like Excel or a linear regression calculator. Input the data for homework grades and corresponding test grades into the tool. This will help in generating the linear equation in the format of y = bx + c.

Step 2: Understand the Components of the Equation

The regression equation obtained will typically be represented as y = 1.20x – 14.32. Here, b (the slope) is 1.20, indicating that for each point increase in homework grade, the test grade increases by 1.20 points. The intercept (c) is -14.32, representing the expected test grade when the homework grade is zero.

Step 3: Estimate Homework Grade for a Given Test Score

To estimate the homework grade based on a specific test score, plug in the value into the regression equation. For a test grade of 68:

  • Set the equation: 68 = 1.20x – 14.32
  • Add 14.32 to both sides: 82.32 = 1.20x
  • Divide both sides by 1.20: x = 68.6
  • Round to the nearest integer, yielding a homework grade of 69.

Related Concepts

Technology tool

Tools like excel or linear regression calculators used to analyze data and perform calculations for regression analysis.

Regression equation

A mathematical representation of the relationship between independent (x) and dependent (y) variables, typically in the format y = bx + c, where b is the slope and c is the intercept.

Slope and intercept

Slope (b) measures the rate of change in y with respect to x, while intercept (c) represents the value of y when x is zero, providing insight into the relationship between the two variables.

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