Question: For a sample of size five and a correlation coefficient of 40.804, calculate the test statistic to determine whether there is a linear correlation between

 For a sample of size five and a correlation coefficient of40.804, calculate the test statistic to determine whether there is a linearcorrelation between two variables. When entering your answer, round [0 three decimalplaces. Use the given data to find the slope of the regressionline equation. X 4 3 2 1 2 V 7 5 31 4 When entering your answer, round to two decimal places.Listed beloware numbers of Internet users per 100 people and numbers of scientificaward winners per 10 million people for different countries. Is there sufficientevidence to support a claim of a linear correlation between the twovariables? Internet Users 79.7 79.6 57.5 67.9 76.3 37.7 Award Winners 5.5

For a sample of size five and a correlation coefficient of 40.804, calculate the test statistic to determine whether there is a linear correlation between two variables. When entering your answer, round [0 three decimal places. Use the given data to find the slope of the regression line equation. X 4 3 2 1 2 V 7 5 3 1 4 When entering your answer, round to two decimal places.Listed below are numbers of Internet users per 100 people and numbers of scientific award winners per 10 million people for different countries. Is there sufficient evidence to support a claim of a linear correlation between the two variables? Internet Users 79.7 79.6 57.5 67.9 76.3 37.7 Award Winners 5.5 3.4 1.7 10.9 0.1 OH :p#0 H :p=0 OH : p=0 H : p#0 OH : p20 H :p0 HPSO OH :SO H: p>0Find the linear correlation coefficient (r). Weight 118 175 157 134 122 128 (pounds), x Height 65 69 70 63 66 60 (inches), y When entering your answer, round to three decimal places.For a sample of size 14 and a correlation coefficient of 0.456, calculate the test statistic to determine whether there is a linear correlation between two variables. When entering your answer, round to three decimal places.Determine the null hypothesis and alternative hypothesis for the following statement: There is a negative linear correlation between two variables. OH :p20 H :0 H : OH :50 H :30 A ' OH :p

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