A side Bven pair of variable, (side and area of a square), which is the dependent variable? A. side of the square C. area of the square B. square D. none of the above endant siven pair of variable, (hourly rate and monthly salary of a part-time professor), which is the independent variable? A. monthly salary B. part-time C. hourly rate D. professor **. The following are the steps in determining the regression line, Which is the correct sequence of the steps? 1. Find the values of a and b. II. Find the value of the correlation coefficient (r). m. Test the significance of r. Ifr is significant proceed to regression analysis, if not then stop. IV. Substitute the values of a and b in the regression line Y'=bX + a. A. I, II, III, IV B. II, III, I, IV C. IV, II, III, I D. II, IV, I, II For Items 45-50. Refer to the given problem below. The following data shows number of absences and the number of quizzes missed by five students. If there is a significant relationship between the two variables, predict the number of quizzes missed by a student who was absent for 6 days. Student Number of Absences Number of Missed Quizzes 1 2. 3 4 2 4 4 45. Which is the dependent and independent variable? A. Missed quizzes and absences, respectively. B. Student and number of absences, respectively. C. Absences and missed quizzes, respectively. D. Cannot determine. 46. What is the correlation coefficient, r? A. 0.63 C. 6.3 В. 63 D. 0.31 n-2. 47. What is the test significance of r using the formula: t =r V1-r2 A. 0.69 C. 1.41 b. -1.41 d.-0.69 48. Which of the following is the critical value of t? A. 2.776 C. 3.182 B. 2.571 D. 2.132 49. Which of the following must be done with the null hypothesis? A. Reject С. Ассеpt R. Ignore D. none of the above

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Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.