COMMERCE 2QA3 Study Guide - Null Hypothesis, Pearson Education, Confidence Interval
16 Dec 2014
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Document Summary
For many countries tourism is an important source of revenue. Data are collected on the number of foreign visitors to a country (in millions) and total tourism revenue (in billions of dollars) for a sample of 10 countries. Below is the regression analysis output with tourism revenue as the dependent variable: the standard error of the slope for this estimated regression equation is, 2. 58307, 3. 462, 0. 07917, 6. 672, 0. 29497. : 18-1: the calculated t-statistic to test whether the regression slope is significantly different from zero is, 6. 20, 13. 88, 0. 07917, 2. 58307, 3. 73. : 18-1: how much of the variability in tourism revenue is accounted for by the number of foreign visitors, 63. 4 , 13. 8 , 2. 58 billion , 21. 464 , 3. 73 billion $ : 18-3: which statement about residuals plot is true, a curved pattern indicates nonlinear association between the variables. A pattern of increasing spread indicates the predicted values become less reliable as the explanatory variable increases.
