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Question;101.;You have been given a two-variable data set with the following calculations;already completed: ?x = 72,?x2 = 1544,?y = 37,?y2 = 305,?xy = 654 and n = 10. The covariance between x and y is given by;a.;30.3;b.;43.1;c.;34.0;d.;27.4;e.;31.9;102.;You have been given a two-variable data set with the following calculations;already completed: ?x = 72,?x2 = 1544,?y = 37,?y2 = 305,?xy = 654 and n = 15. The covariance between x and y is given by;a.;30.3;b.;43.1;c.;34.0;d.;27.4;e.;31.9;103.;You have been given a two-variable data set with the following calculations;already completed: ?x = 72,?x2 = 1544,?y = 37,?y2 = 305,?xy = 654 and n = 20. The covariance between x and y is given by;a.;30.3;b.;43.1;c.;34.0;d.;27.4;e.;31.9;104.;A statistician wishes to examine the relationship between average monthly;rainfall (in mm), x, and number of road accidents, y, in a particular;city. The following calculations have;been done for you:?x = 276,?x2 = 6982,?y = 193,?y2 = 3421,?xy = 4842 and n = 12. The equation of the least squares regression;line is given by;a.?;= 0.64x + 1.46;b.?;= 0.51x + 4.75;c.?;= 0.75x ? 1.08;d.?;= 0.93x ? 5.88;e.;None of the above;105.;A statistician wishes to examine the relationship between average monthly;rainfall (in mm), x, and number of road accidents, y, in a particular city. The following calculations have been done for;you:?x = 265,?x2 = 6982,?y = 193,?y2 = 3421,?xy = 4842 and n = 12. The equation of the least squares regression;line is given by;a.?;= 0.64x + 1.46;b.?;= 0.51x + 4.75;c.?;= 0.75x ? 1.08;d.?;= 0.93x ? 5.88;e.;None of the above;106.;A statistician wishes to examine the relationship between average monthly;rainfall (in mm), x, and number of road accidents, y, in a particular;city. The following calculations have;been done for you:?x = 276,?x2 = 6888,?y = 193,?y2 = 3421,?xy = 4842 and n = 12. The equation of the least squares regression;line is given by;a.?;= 0.64x + 1.46;b.?;= 0.51x + 4.75;c.?;= 0.75x ? 1.08;d.?;= 0.93x ? 5.88;e.;None of the above;107.;A statistician wishes to examine the relationship between average monthly;rainfall (in mm), x, and number of road accidents, y, in a particular city. The following calculations have been done for;you:?x = 276,?x2 = 6982,?y = 185,?y2 = 3421,?xy = 4842 and n = 12. The equation of the least squares regression;line is given by;a.?;= 0.64x + 1.46;b.?;= 0.51x + 4.75;c.?;= 0.75x ? 1.08;d.?;= 0.93x ? 5.88;e.;None of the above;108.;You have been given a two-variable data set with the following calculations;already completed: ?x = 496,?x2 = 37306,?y = 508,?y2 = 39352,?xy = 38309 and n = 7. The equation of the least squares regression;line is given by;a.?;= 1.07x - 3.29;b.?;= 1.04x - 0.95;c.?;= 1.03x ? 0.56;d.?;= 1.03x ? 0.39;e.;None of the above;109.;You have been given a two-variable data set with the following calculations;already completed: ?x = 496,?x2 = 37306,?y = 508,?y2 = 39352,?xy = 38309 and n = 8. The equation of the least squares regression;line is given by;a.?;= 1.07x - 3.29;b.?;= 1.04x - 0.95;c.?;= 1.03x ? 0.56;d.?;= 1.03x ? 0.39;e.;None of the above;110.;You have been given a two-variable data set with the following calculations;already completed: ?x = 496,?x2 = 37306,?y = 508,?y2 = 39352,?xy = 38309 and n = 9. The equation of the least squares regression;line is given by;a.?;= 1.07x - 3.29;b.?;= 1.04x - 0.95;c.?;= 1.03x ? 0.56;d.?;= 1.03x ? 0.39;e.;None of the above;111.;You have been given a two-variable data set with the following calculations;already completed: ?x = 496,?x2 = 37306,?y = 508,?y2 = 39352,?xy = 38309 and n = 10. The equation of the least squares regression;line is given by;a.?;= 1.07x - 3.29;b.?;= 1.04x - 0.95;c.?;= 1.03x ? 0.56;d.?;= 1.03x ? 0.39;e.;None of the above;112.;You have been given a two-variable data set with the following calculations;already completed: ?x = 72,?x2 = 1544,?y = 37,?y2 = 305,?xy = 654 and n = 5. The equation of the least squares regression;line is given by;a.?;= 0.24x + 3.96;b.?;= 0.38x + 0.98;c.?;= 0.40x + 0.56;d.?;= 0.41x + 0.39;e.;None of the above;113.;You have been given a two-variable data set with the following calculations;already completed: ?x = 72,?x2 = 1544,?y = 37,?y2 = 305,?xy = 654 and n = 10. The equation of the least squares regression;line is given by;a.?;= 0.24x + 3.96;b.?;= 0.38x + 0.98;c.?;= 0.40x + 0.56;d.?;= 0.41x + 0.39;e.;None of the above;114.;You have been given a two-variable data set with the following calculations;already completed: ?x = 72,?x2 = 1544,?y = 37,?y2 = 305,?xy = 654 and n = 15. The equation of the least squares regression;line is given by;a.?;= 0.24x + 3.96;b.?;= 0.38x + 0.98;c.?;= 0.40x + 0.56;d.?;= 0.41x + 0.39;e.;None of the above;115.;You have been given a two-variable data set with the following calculations;already completed: ?x = 72,?x2 = 1544,?y = 37,?y2 = 305,?xy = 654 and n = 20. The equation of the least squares regression;line is given by;a.?;= 0.24x + 3.96;b.?;= 0.38x + 0.98;c.?;= 0.40x + 0.56;d.?;= 0.45x + 0.40;e.;None of the above;116.;You have been given the following calculated values for a set of data;containing x and y values: ?x = 46,?y = 76,?xy = 473,?x2 = 284,?y2 = 794 and n = 8. What is the value of the gradient of the;regression line between x and y?;a.;1.846;b.;1.474;c.;2.141;d.;1.795;e.;1.444;117.;You have been given the following calculated values for a set of data;containing x and y values: ?x = 45,?y = 76,?xy = 473,?x2 = 284,?y2 = 794 and n = 8. What is the value of the gradient of the;regression line between x and y?;a.;1.846;b.;1.474;c.;2.141;d.;1.795;e.;1.444;118.;You have been given the following calculated values for a set of data;containing x and y values: ?x = 46,?y = 75,?xy = 473,?x2 = 284,?y2 = 794 and n = 8. What is the value of the gradient of the;regression line between x and y?;a.;1.846;b.;1.474;c.;2.141;d.;1.795;e.;1.444;119.;You have been given the following calculated values for a set of data;containing x and y values: ?x = 46,?y = 76,?xy = 472,?x2 = 284,?y2 = 794 and n = 8. What is the value of the gradient of the;regression line between x and y?;a.;1.846;b.;1.474;c.;2.141;d.;1.795;e.;1.444;120.;You have been given the following calculated values for a set of data;containing x and y values: ?x = 46,?y = 76,?xy = 473,?x2 = 284,?y2 = 794 and n = 8. What is the value of the intercept of the;regression line between x and y?;a.;-1.115;b.;1.212;c.;-2.936;d.;-0.821;e.;1.444;121.;You have been given the following calculated values for a set of data;containing x and y values: ?x = 45,?y = 76,?xy = 473,?x2 = 284,?y2 = 794 and n = 8. What is the value of the intercept of the;regression line between x and y?;a.;-1.115;b.;1.212;c.;-2.936;d.;-0.821;e.;1.444;122.;You have been given the following calculated values for a set of data;containing x and y values: ?x = 46,?y = 75,?xy = 473,?x2 = 284,?y2 = 794 and n = 8. What is the value of the intercept of the;regression line between x and y?;a.;-1.115;b.;1.212;c.;-2.936;d.;-0.821;e.;1.444;123.;You have been given the following calculated values for a set of data;containing x and y values: ?x = 46,?y = 76,?xy = 472,?x2 = 284,?y2 = 794 and n = 8. What is the value of the intercept of the;regression line between x and y?;a.;-1.115;b.;1.212;c.;-2.936;d.;-0.821;e.;1.444;124. Which of the following statements is;correct?;a. If X and Y have a correlation;coefficient of 0.99, then X and Y are unrelated;b. If the covariance between X and Y is a;large negative number, then X and Y have no linear relationship;c. The least squares regression line can be;used to forecast values of Y for any given value of X;d. The smaller the sum of squared residuals;the more confidence we will have in our forecasted values of Y;e. None of the above are correct;125. If the sample correlation coefficient;between x and y is -1 (i.e. r = -1) then we can be sure that;a. None of the points in the sample will;lie on the least squares regression line.;b. The relationship between x and y is a;perfect positive linear relationship.;c. The true value of the population;correlation coefficient is also equal to -1.;d. All the points in the sample will lie on;the least squares regression line.;e. None of the above

 

Paper#62451 | Written in 18-Jul-2015

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