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- The correlation between X and Y is r = 0.35. If we doublw each X value, decrease each Y by 0.20, and interchange the variables (put X on the Y-axis and vice versa), the new correlation is?I’m taking a statistics and probability class. Please get this correct because I want to learn. I have gotten wrong answers on here before5. At 60°F a particular blend of automotive gasoline weights 6.17 lb/gal. The weight y of gasoline on a tank truck that is loaded with x gallons of gasoline is given by the linear equation Y = 6.17x a. Explain whether the relationship between the weight y and the amount x of gasoline has an element of randomness. b. Predict the weight of gasoline on a tank truck that has just been loaded with 6,750 gallons of gasoline.
- Given Q = 18, Q3 = 25, Mode = 21, Mean = 18, find the coefficient of %3D %3D %3D skewness.Q12) If the slope of the regression equation y=b0+b1×x is equal to negative, then; 1. as x increases y decreases 2.. as x changes, y does not change 3.. Either a or b is correct 4.. as x decreases y increasesA manager wishes to determine the relationship between the distance (in hundreds of miles) the manager's sales representatives travel per month and the amount of sales (in thousands of dollars) per month. Find the standard error of estimate, Se given that ý = 3.5x + 31.388889 %3D 15 8 Miles Travele1,r Sales, y 13 11 10 3 14 76 68 65 42 38 84 82 63 48 E= 81; y = 566 a² = 913; y² = 37886 2 xy = 5738 OS, = 2.025 S = 2.296 OS. = 1.895 Se = 1.735 S. = 2.446
- ThanksWe are given the following training examples: (1.2, 3.2), (2.8, 8.5), (2,4.7), (0.9, 2.9), (5.1, 11) We want to apply a 3-nearest neighbor rule in order to perform regression. (a) : Predict the label (real value) at each of the following two points: 1 = 1.5 and x2 = 4.5. time we want to perform distance-weighted nearest neighbor regression. What values do we predict now for x1 = 1.5 and x2 = 4.5? (b). Instead of weighing the contribution of each of the 3 nearest neighbors equally, thisThe regression equation is: ŷ = 67.16 + 8.417x where ŷ is the miles traveled, and x is the MPG. The sample size used was all 110 MPG records. The correlation coefficient r = 0.620. Use the information to obtain an estimate of my mileage if my MPG is 22. Is it option: a.) cannot estimate ŷ rcrit = 0.195; the correlation IS NOT significant b.) ŷ = 252.33 rcrit = 0.195; the correlation IS significant c.) ŷ = 252.33 rcrit = 0.187; the correlation IS significant d.) cannot estimate ŷ rcrit = 0.187; the correlation IS NOT significant
- The research hypothesis posits that the treatment association between two variables will be greater than zero (H1: rxy > 0). What would be concluded for r(29) = .267, p > .05?If Cov(X,Y)=-99, o? = 121 and o = 81 then, coefficient of correlation r(X, Y) will be %3D Select one: O +1.000 O - 1.000 O +0.0101 0.0101 PREVIOUS PAGE re to search 立A chi square test tells us: a. Whether two continuous variables are correlated with each other. b. Whether two discrete variables are independent of each other c. The amount of variation in one variable explained by the other d. Which categories of one variable are associated with which categories of the other variable
