Using your favorite statistics software package, you generate a scatter plot with a regression equation andcorrelation coefficient. The regression equation is reported as94.13x + 21.26y =and the T0.61.What percentage of the variation in y can be explained by the variation in the values of x?(Report exact answer, and do not enter the % sign)Submit QuestionsuveCoursenssearchinsprt scdeletef12nofa144f6I01backs&%248.4.

The coefficient of determination (r2) defines the percent of variation of the response variable…

Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as y = - 94.13x + 21.26 and the r =D 0.61. What percentage of the variation in y can be explained by the variation in the values of x? r2 = % (Report exact answer, and do not enter the % sign) Submit Question

Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as y = - 94.13x + 21.26 and the r =D 0.61. What percentage of the variation in y can be explained by the variation in the values of x? r2 = % (Report exact answer, and do not enter the % sign) Submit Question

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 2AGP

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The Wall Street Journal asked Concur Technologies, Inc., an expense management company, to examine data from million expense reports to provide insights regarding business travel expenses. Their analysis of the data showed that New York was the most expensive city. The following table shows the average daily hotel room rate () and the average amount spent on entertainment () for a random sample of of the most-visited U.S. cities. These data lead to the estimated regression equation . For these data . Click on the datafile logo to reference the data. Use Table 1 of Appendix B. full question attached in ss thanks for help aprpeicated aigjrowoirj
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