Given r = -0.90, MX = 4.13, SX = 1.77, MY = 3.45 and SY = 2.09, what is the regression equation?
Given r = .90 , MX = 5.26, sX = 0.75, MY = 5.22, and sY = 1.03, what is Y' for X = 29.14?
Given that x = 3.5000, sx = 2.5884, y = 4.1000, sy = 1.9657, and r
= -0.9552, determine the least-squares regression line.
y = ____ x + (_____)
A data set is given below. (a) Draw a scatter diagram. Comment on the type of relation that appears to exist be (b) Given that x = 3.5000, Sy = 2.5884, y = 4.1000, sy = 1.9657, and r = -0.9552, det (c) Graph the least squares regression line on the...
4. From given table determine the least squares regression line , If Sx =15.81, Sy =11.74 and r = 097 x 20 30 40 50 60 y 100 95 91 83 70
we have a bivariate data set and compute the following: r=.7, sy=9, sx=5, x-bar=13.5, y=51.6. We want to know the equation of the least-squares regression line, but we don't have a calculator. Determine the equation of the least-squares regression line from the given data. a. y=46.34+.39x b. y=-51.52+1.26x c. y=34.59+1.26x d. y=-6.624+.39x e. you can't compute the regression line without knowing the original data.
Given a linear regression with slope b = 10, sy= 3, sx = 20, and n=52, find the standard error of the estimate (i.e., the standard deviation of the residuals).
Consider the following information: r = 0.50, MX = 8, SDX= 2, MY = 3, SDY= 1. What is the corresponding simple linear regression equation? Group of answer choices Ŷ = 1.5 + 1.5X Ŷ = 2 - 0.5X Ŷ = -1 + 2X Ŷ = 1 + 0.25X None of the above
Some X, Y data are positively correlated with r = 0.5. Also: x̄ = 4 Sx = 2 ȳ = 6 Sy = 3 a. Find the equation for the regression line b. Predict Y for X = 8 c. Find the coefficient of determination and interpret its meaning.
One of the formulas for computing r is E(x - 2) - Y) (n - 1)(sx)(sy) For the given data, determine the following. Round your answers to three decimal places. 185 208 144 169 175 32 y 141 103 112 118 16232 Download data Part 1 Computer with the new formula. Value ofr computed using the given formula is Part 2 Computer with the other formula. Value of r computed using the other formula is Part 3 Compare the results....
Given a correlation coefficient (r) of 0.7216, mean of x-bar = 140.5, standard deviation of x (sx) = 6.4, mean of y-bar = 128.3, and standard deviation of y (sy) = 8.2. Find the slope of the regression line. Find the y-intercept of the line. Write the equation of the line.
Continuous Random variables X and Y have the following joint PDF given below: fxy = Cx2y2 for 0 sx s 1 and 0 sy s 2 OR fxy=0 otherwise What is the value of constant C? Express it in 2-digit accuracy (e.g. 0.12)