Suppose we have the following values for the linear function relating X and Y (where Y is the dependent variable and X is the independent variable:
X Y
0 45
1 25
2 5
What would the value of R-Square be for this straight line?
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Suppose we have the following values for the linear function relating X and Y (where Y...
Question 7 (1 point) Suppose we have the following values for variables X (independent) and Y (dependent) IX-X)(y-7) --630 Z(X - x)2 = 168 SSE = 1225 SSR = 2362.5 What is the value of R-Square (round to four decimal places)? Question 8 (1 point) Suppose we have the following values for variables X (independent) and Y (dependent) EIX-XIY-7)=-630 IIX Xj2 = 168 SSE = 1225 SSR = 2362.5 What is the value of the slope coefficient for the simple...
Suppose we have the following values for a dependent variable, Y, and three independent variables, X1, X2, and X3. The variable X3 is a dummy variable where 1 = male and 2 = female: X1 X2 X3 Y 0 40 1 30 0 50 0 10 2 20 0 40 2 50 1 50 4 90 0 60 4 60 0 70 4 70 1 80 4 40 1 90 6 40 0 70 6 50 1 90 8 80 ...
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...
Suppose we have the following values for variables X (independent) and Y (dependent) _ _ Σ(X – X)(Y – Y) = -630 _ Σ(X – X)2 = 168 SSE = 1225 SSR = 2362.5 What is the value of the slope coefficient for the simple regression equation (round to two decimal places)?
Suppose we have the following values for variables X (independent) and Y (dependent) _ _ Σ(X – X)(Y – Y) = -630 _ Σ(X – X)2 = 168 SSE = 1225 SSR = 2362.5 If n = 8, what is the value of the standard error for the simple regression model (round to three decimals)?
(8 points) Consider the linear equation y = bo +bix. a. In the equation, bo is A. the dependent variable B. the slope C. the y-intercept D. the independent variable b. In the equation, b, is A. the independent variable B. the slope C. the y-intercept D. the dependent variable C. Give the geometric interpretation of bo. It indicates A. how much the x-value on the straight line changes when the y-value increases by unit B. the x-value where the...
Help 3. Suppose that X and Y are related by the simple linear regression model Y = a + BX +E where a, 8 are unknown parameters, and ε is a normal random variable that is independent of X and has mean 0 and unknown variance o2. Suppose that we have the following n = 5 samples for X: X1 = 1; 22 = 2; 13 = 3; 24 = 4; 25 = 5. Also suppose that we have the...
You can just answer question bcd 5Suppose we have an objective function f(x,y) and a constraint y-h). Suppose the Lagrangian has a critical point at (0,0,X). Explain in a sentence or two how you know that line r(t) = (t,th,(0)) is tangent to the constraint. b At the critical point, compute the second derivative of f along the line in a d2 At the critical point, compute the second derivative of f along the graph y - h(x) Describe the...
Enter True or False, depending on whether the corresponding statement is true or false. 1. If the coefficient of correlation r = 0, then there is no linear relationship between the variable y and the variable x. 2. A straight line that slopes upward and exactly fits all data points would produce a correlation coefficient value of one. Consider the linear equation y = Bo + B1x. Enter your answers as a single letter indicating the correct answer, i.e. A...
Suppose we have the following information on the examination scores and weekly employment hours of eight students: Exam Score Employment Hours 80 10 80 5 68 15 95 5 75 21 60 40 90 0 100 0 Assuming Exam Score is the dependent variable (Y) and Employment Hours is the independent variable (X), calculate the simple linear regression equation by hand. Using this, test to see whether the slope on X is...