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. Based the calculated t-statistic (which you need to calculate) for the slope, we can conclude at the .05 level of significance that Regression Analysis: Tourism ($ bill) versus Visitors (mill) The regression equation is Tourism ($ bill) = 21.5 + 0.295 Visitors (mill) Predictor Constant Coef 21.464 Visitors (mill) 0.29497 SE Coef 3.462 0.07917 wwwwwww S = 2.58307 R-Sq = 63.4% T P a. We reject the null hypothesis and conclude that the regression equation is significant. b. We accept the null hypothesis and conclude that the regression equation is significant. Oc. We accept the null hypothesis and conclude that the regression equation is not significant. O d. We reject the null hypothesis and conclude that the regression equation is not significant. e. Not enough information is given to arrive at a conclusion.

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. Based the calculated t-statistic (which you need to calculate) for the slope, we can conclude at the .05 level of significance that Regression Analysis: Tourism ($ bill) versus Visitors (mill) The regression equation is Tourism ($ bill) = 21.5 + 0.295 Visitors (mill) Predictor Constant Coef 21.464 Visitors (mill) 0.29497 SE Coef 3.462 0.07917 wwwwwww S = 2.58307 R-Sq = 63.4% T P a. We reject the null hypothesis and conclude that the regression equation is significant. b. We accept the null hypothesis and conclude that the regression equation is significant. Oc. We accept the null hypothesis and conclude that the regression equation is not significant. O d. We reject the null hypothesis and conclude that the regression equation is not significant. e. Not enough information is given to arrive at a conclusion.

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)

6th Edition

ISBN:9781337111348

Author:Bruce Crauder, Benny Evans, Alan Noell

Publisher:Bruce Crauder, Benny Evans, Alan Noell

Chapter3: Straight Lines And Linear Functions

Section3.CR: Chapter Review Exercises

Problem 15CR: Life Expectancy The following table shows the average life expectancy, in years, of a child born in...

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