stats data bank stats data bank Question 101. You have been given a two-variable data set with the following calculations already completed: åx = 72,åx2 = 1544,åy = 37,åy2 = 305,åxy = 654 and n = 10. The covariance between x and y is given by: a. 30.3 Save your time! Proper editing and formatting Free revision, title page, and bibliography Flexible prices and money-back guarantee ORDER NOW b. 43.1 c. 34.0 d. 27.4 Make sure you submit a unique essay Our writers will provide you with an essay sample written from scratch: any topic, any deadline, any instructions. 100% ORIGINAL ORDER NOW e. 31.9 102. You have been given a two-variable data set with the following calculations already completed: åx = 72,åx2 = 1544,åy = 37,åy2 = 305,åxy = 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: åx = 72,åx2 = 1544,åy = 37,åy2 = 305,åxy = 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:åx = 276,åx2 = 6982,åy = 193,åy2 = 3421,åxy = 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:åx = 265,åx2 = 6982,åy = 193,åy2 = 3421,åxy = 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:åx = 276,åx2 = 6888,åy = 193,åy2 = 3421,åxy = 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:åx = 276,åx2 = 6982,åy = 185,åy2 = 3421,åxy = 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: åx = 496,åx2 = 37306,åy = 508,åy2 = 39352,åxy = 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: åx = 496,åx2 = 37306,åy = 508,åy2 = 39352,åxy = 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: åx = 496,åx2 = 37306,åy = 508,åy2 = 39352,åxy = 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: åx = 496,åx2 = 37306,åy = 508,åy2 = 39352,åxy = 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: åx = 72,åx2 = 1544,åy = 37,åy2 = 305,åxy = 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: åx = 72,åx2 = 1544,åy = 37,åy2 = 305,åxy = 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: åx = 72,åx2 = 1544,åy = 37,åy2 = 305,åxy = 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: åx = 72,åx2 = 1544,åy = 37,åy2 = 305,åxy = 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: åx = 46,åy = 76,åxy = 473,åx2 = 284,åy2 = 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: åx = 45,åy = 76,åxy = 473,åx2 = 284,åy2 = 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: åx = 46,åy = 75,åxy = 473,åx2 = 284,åy2 = 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: åx = 46,åy = 76,åxy = 472,åx2 = 284,åy2 = 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: åx = 46,åy = 76,åxy = 473,åx2 = 284,åy2 = 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: åx = 45,åy = 76,åxy = 473,åx2 = 284,åy2 = 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: åx = 46,åy = 75,åxy = 473,åx2 = 284,åy2 = 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: åx = 46,åy = 76,åxy = 472,åx2 = 284,åy2 = 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