EBK THE BASIC PRACTICE OF STATISTICS
EBK THE BASIC PRACTICE OF STATISTICS
7th Edition
ISBN: 8220103935319
Author: Moore
Publisher: YUZU
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Chapter 29, Problem 29.44E

a.

To determine

To fit: A multiple regression model for predicting Hgt97.

The regression standard error.

Whether the fit is good fit or not.

To comment: The value of R2.

To plot: The residuals against the predicted values.

  • b.
To determine

  • To construct: A correlation matrix with Hgt90, Hgt96, Diam96, Grow96, Hgt97, Diam97, Speed97 and Needles97.
  • To explain: The variable that is most strongly correlated with response variable of interest (Hgt97).
  • To check: Whether it makes any sense or not.

  • c.
To determine

  • To explain: Whether the model has better job in predicting tree height in 1997 after adding Hgt96 or not.

  • d.
To determine

  • To explain: Whether there is any change to the individual t statistic for Hgt90 when adding Hgt96 to the model or not.

  • e.
To determine

  • To fit: A multiple regression model for predicting Hgt97 based on the explanatory variables Diam97, Hgt96, and Fert.
  • To summarize: The results of the individual t tests.

To check: Whether the model provide a better fit, comparing with previous models by using R2 and s values for each model or not.

f.

To determine

To check: Whether the parameter estimate for the variable indicating whether a tree was fertilized or not have the expected sign.

g.

To determine

To explain: Whether the model in part (e) should be used for predicting growth in other pine seedling or not.

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