Ans - An independent relationship because as Y changes, Z remains constant at 10.
Explanation:
The option is self explanatory.
Assume two variables Z and Y have the following relationship: Z=10, where Z is on the...
A) Assume a linear relationship between the variables Y and X , and that Y is the variable measured on the vertical axis while X is the variable measured on the horizontal axis. A straight line describing this relationship has a y-axis intercept of 45 and a slope of 2. What is the equation for this line? B) Is the relationship between Y and X positive or negative? How can you tell just by looking at this equation? C) Based...
A) Assume a linear relationship between the variables Y and X , and that Y is the variable measured on the vertical axis while X is the variable measured on the horizontal axis. A straight line describing this relationship has a y-axis intercept of 10 and a slope of -1.25. What is the equation for this line? B) Is the relationship between Y and X positive or negative? How can you tell just by looking at this equation? C) Use...
3. a) Consider the following model for the demand function: Where Q Quantity demanded P price e exponent, and U is the population error term i) Name at least one additional independent variable which may influence a. i) Linearize the above model by taking logs. b) Consider the following reciprocal regression model (sample): Y = b1 + b2(1/%) + ei 2 where bi and b2 are positive. i) What happens to Y as X increases? Show the relationship between Y...
Equations: An equation with two variables, X and Y, is a simple way to show a relationship given information about X, we can calculate the value (numerical amount) of Y. And every time calculate how much Y changes. For example, the equation Y 3(x) tells us that value of X. It means that every time X increases by 1, Y increases by 3. (substitute) the different values of X in the left-hand column of the table into the equation. of...
is consider a situation where two variables appear to have nearly a linear relationship, meaning that the points in a scatter plot roughly follow a straight-line pattern. If the dependent, or response, variable increases as the independent, or explanatory, variable increases, then the linear pattern would have a: (A) Negative slope (B) Positive slope (C) Zero slope (D) An undefined slope 19. The value of r, the correlation coefficient for a sample, always takes on values between: (A) 0 and...
Consider a data set consisting of values for three variables: x, y, and z. Three observations are made on each of the three variables. The following table shows the values of x, y, z, x2, y2, z2, xy, yz, and xz for each observation. Observation x y z x2 y2 z2 xy yz xz 6 6 2 36 36 4 36 12 12 4 3 8 16 9 64 12 24 32 2 6 5 4 36 25 12 30...
Two quantities z and y are said to have a square-root relationship if y is proportional to the square root of z. We write the mathematical relationship as Part A Consider the case when the constant A-3. Plot the graph of y 3 where A is a constant SCALING If z has the initial value ri, then y has the initial value yi. Changing a from zi to r2 changes y from yi to y2. The ratio of y2 to...
Problem 6: 10 points Assume that X and Y are independent random variables uniformly distributed over the unit interval (0,1) 1. Define Z max (X. Y) as the larger of the two, Derive the C.DF. and density function for Z. 2. Define W min(X,Y) as the smaller of the two. Derive the C.D.F.and density function for W 3. Derive the joint density of the pair (W. Z). Specify where the density if positive and where it takes a zero value....
Problem 6: 10 points Assume that X and Y are independent random variables uniformly distributed over the unit interval (0,1) 1. Define Z-max (X, Y) as the larger of the two. Derive the C.D.F. and density function for Z. 2. Define Wmin (X, Y) as the smaller of the two. Derive the C.D.F. and density function for W 3. Derive the joint density of the pair (W, Z). Specify where the density if positive and where it takes a zero...
Suppose the difference between two variables is X-Y=Z, and its distribution isfx-Y (2) = fx (a) fy (2 - z) dx, and the distribution on Xis fx(x) = lie-11«, and the distribution on Yis fy (2 - x) = dze-da(x-2). Question 1 1 pts The distribution of the difference between variables is fx-Y (2) = cde-112 lze-12(x-2) dx where cis a normalizing factor to ensure the PDF integrates to one, which in this case is: o c= idz c= 11th...