Choose the correct answer, give brief explainationI make it as one question, because its have simple explanation and its related If there is a relationship between the variables X and Y, then mathematically it can beexpressed by an equation of the linear regression line Y = Bo + B1x. In this equation ßi is:%3D1. OThe Prediction of X variable2. OThe intercept (the intersection of the vertical axes3. OThe Prediction of Y variable4. OThe Slope To test the similarity of variance of the two populations I and II, a sample of 10 were takenfrom population I and the variance was 24.7, while a sample of 13 were taken frompopulation II and the variance was 37.2 For the 0.05 level of significance and f(1-a)(12;9)1/(fa(9,12) then the interval estimator for the ratio of variance o/o? is1. O ketiganya salahNone of the above(Sın)^2/(s)^2. f{a/2}[9;12) < (on)?/(01)*2 < (S1)/(sı)2. f(1-a/2|9:12)(sı)^2/(sı)^2. f(a/2)(9;12) < (o1)^2/(01)^2 < (Sı)^2(s)^2. f(1-a/2)(9;12)2. O(Sı)^2/(s)^2+ f(1-a/2){12;9) < (O1)^2/(01)^2 < (Si)^2/(si)^2.(Sı)^2/(s)^2. f(1-a/2)(12,9) < (o1)^2(01)^2 < (Sı)^2/(si)^2. f(a/2)(12;9)f(a/2)(12;9)*3. O(S)^2/(sı)^2. f(a/2)(12,9) < (O1)^2/(01)^2 < (S1)^2/(si)^2. f¢1-a/2)(12;9)(Sı)"2/(si)^2. f(a/2)(12;9) < (o1)^2/(01)^2 < (S1)^?/(si)^2» f(1-a/2){12;9)4. O

We have given that Linear regression equation with X and Y Then we have to define what is beta1…

If there is a relationship between the variables X and Y, then mathematically it can be expressed by an equation of the linear regression line Ỹ = Bo+ B1x. In this equation ß1 is: %3D 1. O The Prediction of X variable 2. О The intercept (the intersection of the vertical axes 3. О The Prediction of Y variable 4. O The Slope