The correlation coefficient, rr, is a number between 0 and 1 -10 and 10 −∞-∞ and ∞∞ 0 and 100 0 and ∞∞ -1 and 1 0 and 10

3 -   x and 23 ; 88 76 ; 305 27 ; 105 64 ; 240 12 ; 50 51 ; 205 33 ; 120 50 ; 104       When regression analysis is performed according to the given x and y values (y = ax + b), which one is correlation coefficient   A) 0.9291 B) hiçbiri/none of them C) -0,997 D) -0,6790 E) 0,2421

Consider an economy where each worker is employed in either agriculture or services. Assume that log earnings of a worker are wo = 4o + €o if she is employed in agriculture and wi = µ1+€1 if she is employed in services, where µo and H1 are constants, ɛo ~ N(0, o3), and e1 - N(0, o?). Assume also that the correlation between earnings in the two sectors is p = g01 where oo1 = Cov(Eo, E1). Workers can be employed in agriculture at no cost, but they incur a cost C = T exp(wo) if they choose to work in services. Finally, assume that workers maximize their net earnings. Each worker knows all the parameters relevant to her decision. (a) Derive a linear approximation of the equation that determines whether an individual chooses services or agriculture. Assume that C is small compared to exp(wo), so you can ignore the error involved in this approximation. (b) Define v = €1 chosen worker is employed in services as a function of z, where z = (Ho – H1 +7)/0,. (c) How does this probability change…

The manager of an assembly process wants to determine whether or not the number of defective articles manufactured depends on the day of the week the articles are produced. She collected the following information. Is there sufficient evidence to reject the hypothesis that the number of defective articles is independent of the day of the week on which they are produced? Use ? = 0.01. Day of Week       M     Tu     W     Th     F Nondefective 87 93 99 99 92 Defective 11 6 3 3 9 (a) Find the test statistic. (Round your answer to two decimal places.)(ii) Find the p-value. (Round your answer to four decimal places.)(b) State the appropriate conclusion. Fail to reject the null hypothesis. There is not significant evidence that the number of defective articles is not independent to day of the week.Fail to reject the null hypothesis. There is significant evidence that the number of defective articles is not independent to day of the week.    Reject the null hypothesis. There is…