document.write( "Question 1188535: The following are data for 12 individual’s daily sodium intake and their systolic blood pressure readings.\r
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document.write( "Person
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document.write( "1
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document.write( "2
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document.write( "3
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document.write( "4
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document.write( "5
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document.write( "6
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document.write( "7
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document.write( "8
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document.write( "9
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document.write( "10
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document.write( "11
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document.write( "12\r
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document.write( "Sodium
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document.write( "6.8
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document.write( "7.0
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document.write( "6.9
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document.write( "7.2
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document.write( "7.3
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document.write( "7.0
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document.write( "7.0
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document.write( "7.5
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document.write( "7.3
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document.write( "7.1
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document.write( "6.5
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document.write( "6.4\r
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document.write( "BP
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document.write( "154
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document.write( "167
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document.write( "162
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document.write( "175
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document.write( "190
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document.write( "158
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document.write( "166
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document.write( "195
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document.write( "189\r
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document.write( "A researcher investigator is interested in learning how strong the association is between these variables and how well we can predict blood pressure from sodium intake.\r
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document.write( "a.Calculate the value of r and the regression equation for the data.
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document.write( "b.Test the hypothesis at 0.05 level of significance.
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document.write( "c.What would be a likely blood pressure for a person with sodium of 6.3? How about sodium of 7.6?
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document.write( "
Algebra.Com's Answer #819894 by Theo(13342)![]() ![]() You can put this solution on YOUR website! unfortunately, you don't have 12 blood pressure readings. \n" ); document.write( "you only have 9. \n" ); document.write( "i did an analysis with the first 9 pairs, using the regression tool at https://www.statskingdom.com/linear-regression-calculator.html\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "the results are shown below:\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "there's lots of information in the output. \n" ); document.write( "what you probably want to concentrate on is the following:\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "regression line is y = 64.3478 * x - 284.6957. \n" ); document.write( "p-value = .0003 which is < than .05, indicating the results are significant. \n" ); document.write( "r^2 = .9278, indicating that most of the data results from the relationship between the variables. \n" ); document.write( "r = .9632, indicating a strong positive relationship exists.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( " ![]() \n" ); document.write( " \n" ); document.write( "\n" ); document.write( " ![]() \n" ); document.write( " \n" ); document.write( "\n" ); document.write( " ![]() \n" ); document.write( " \n" ); document.write( "\n" ); document.write( " ![]() \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "when you find your missing data, you can run the regression calculator yourself, although i doubt, from what is already there, that the results will be different. \n" ); document.write( "however, just to be sure, i would run the analysis with the missing data, and i recommend you do the same. \n" ); document.write( " \n" ); document.write( " |