Introduction to Probability and Statistics
Introduction to Probability and Statistics
14th Edition
ISBN: 9781133103752
Author: Mendenhall, William
Publisher: Cengage Learning
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Chapter 3.4, Problem 3.9E

Suppose that the relationship between two variables x and y can be described by the regression line y = 2.0 + 0.5 x .

  1. What is the change in y for a one-unit change in x?
  2. Do the values of y increase or decrease as x increases?
  3. At what point does the line cross the y-axis? What is the name given to this value?
  4. If x = 2.5 , use the least squares equation to predict the value of y. What value would you predict if x = 4.0 ?

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For each of the time​ series, construct a line chart of the data and identify the characteristics of the time series​ (that is,​ random, stationary,​ trend, seasonal, or​ cyclical). Year    Month    Rate (%)2009    Mar    8.72009    Apr    9.02009    May    9.42009    Jun    9.52009    Jul    9.52009    Aug    9.62009    Sep    9.82009    Oct    10.02009    Nov    9.92009    Dec    9.92010    Jan    9.82010    Feb    9.82010    Mar    9.92010    Apr    9.92010    May    9.62010    Jun    9.42010    Jul    9.52010    Aug    9.52010    Sep    9.52010    Oct    9.52010    Nov    9.82010    Dec    9.32011    Jan    9.12011    Feb    9.02011    Mar    8.92011    Apr    9.02011    May    9.02011    Jun    9.12011    Jul    9.02011    Aug    9.02011    Sep    9.02011    Oct    8.92011    Nov    8.62011    Dec    8.52012    Jan    8.32012    Feb    8.32012    Mar    8.22012    Apr    8.12012    May    8.22012    Jun    8.22012    Jul    8.22012    Aug    8.12012    Sep    7.82012    Oct…
For each of the time​ series, construct a line chart of the data and identify the characteristics of the time series​ (that is,​ random, stationary,​ trend, seasonal, or​ cyclical). Date    IBM9/7/2010    $125.959/8/2010    $126.089/9/2010    $126.369/10/2010    $127.999/13/2010    $129.619/14/2010    $128.859/15/2010    $129.439/16/2010    $129.679/17/2010    $130.199/20/2010    $131.79 a. Construct a line chart of the closing stock prices data. Choose the correct chart below.
For each of the time​ series, construct a line chart of the data and identify the characteristics of the time series​ (that is,​ random, stationary,​ trend, seasonal, or​ cyclical) Date    IBM9/7/2010    $125.959/8/2010    $126.089/9/2010    $126.369/10/2010    $127.999/13/2010    $129.619/14/2010    $128.859/15/2010    $129.439/16/2010    $129.679/17/2010    $130.199/20/2010    $131.79
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