Statistics1. Which of the following statistical techniques would you use to determine how much variable Acauses variable B?a. Correlation analysisb. Regression analysisc. Probability analysisd. None of the above2. Which of the following indicates a near perfect association between variable A and B?a. -.25b. .4c. -.90d. .563. Given the following regression equations, which would explain the most variation in y?a. Y = 15 + 6(x) + e, where x equals 6 and e = .95b. Y = 93 + 4(x) + e, where e equals .8222c. Y= 44 + 8(x) + e, where x equals 4 and e = -.6d. Y = 120 = 2.5(x) + e where e = .1124. Which equation would not represent a simple linear regression equation?a. Y= b0 + b1(x)2 + eb. Y= b0 – b1(x) + ec. Y= b0+ v1(x) + ed. All of the above are simple linear regression models5. Of ten electric bulbs, three are defective but it is not known which are defective. In how manyways can three bulbs be selected?a. 90b. 120c. 74d. 606. Suppose a person can take three routes from city A to city B, four from city B to city C andthree from city C to city D. Then the possible routes for reaching from city A to D, while hemust travel from A to B to C to D are:a. 36b. 9c. 12d. 727. Which of the following statements is false?a. The sign of the correlation coefficient indicates the direction of the relationship.b. Correlation only implies association not causationc. The range of values for a correlation is from 0 to 1d. All of the above statements are true.