Assignment 6

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The price of lumber is typically a nonlinear distribution. Here are the current prices at a popular home improvement store for 2” x 4” lumber in different lengths.

length - feet

price

8

$5.11

10

$7.58

12

$9.12

16

$12.87

  • Create a scatterplot using this data. Place the explanatory variable on the horizontal axis and response variable on the vertical axis. Be sure to label the axes and scale.

  • Determine the exponential regression model for this data. Write the results below:

Equation

r2

  • Determine the quadratic regression model for this data. Write the result below:

Equation

r2

  • Use the regression models to make a price chart for some non-standard lengths of 2” x 4” lumber.

Length – feet

Exponential Regression Price

Quadratic Regression Price

4

14

20

32

  • Write a brief paragraph comparing and contrasting the two regression models. Why do you think the regression model for lumber price is best represented in a nonlinear distribution?

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