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071. The Basic Objective of Regression Analysis
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072. Ordinary Least Squares Method (the line of best fit)
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073. The Y-Values Are Assumed to Be Normally Distributed
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074. The Standard Error of the Estimate: A Measure of Goodness-of-Fit
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075. Correlation Analysis. Coefficient of Determination
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076. Coefficient of Correlation
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077. Interval Estimation in Regression Analysis
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078. The Conditional Mean for Y
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079. The Predictive Interval for a Single Value of Y
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080. Hypothesis Test about the Population Correlation Coefficient
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081. Testing Inferences about the Population Regression Coefficient. A Confidence interval for β1
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082. Chapter Checklist. You Make the Decision
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083. Time series analysis and forecasting/ Introduction
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084. Time Series and Their Components
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085. Secular Trend
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086. The Seasonal Component
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087. Cyclical Variations
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088. Time-Series Models
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089. Smoothing Techniques
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090. Moving Averages
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091. Exponential Smoothing
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092. Decomposition of a Time Series
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093. Seasonal Variation
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094. Cyclical Variation
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095. Irregular Variation
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096. Chapter Checklist 7
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097. Index numbers. Introduction
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098. A Simple Price Index
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099. Composite Price Indexes
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100. Weighted Composited Price Indexes
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101. Average of Relatives Method
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102. Selection of the Base Period
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103. Specific Indexes
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104. Uses for the CPI
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105. Chapter Checklist 8
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106. Test your knowledge. Graphical Displays of Data
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107. Numerical Measures of Central Tendency for Ungrouped Data
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108. Numerical Measures of Variability for Ungrouped Data
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109. Simple Regression
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110. Sampling Distributions and the Central Limit Theorem
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111. Confidence Intervals Large Samples
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112. Literature
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113. Distribution tables
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114. Table B – Z-test (The Standard Normal Distribution)
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