When I have a regression equation such as Y = beta 0 + beta 1 X...
When I have a regression equation such as Y = beta 0 + beta 1 X and the estimated coefficients are beta hat 0 = 300, beta hat 1 = -4, SER = 10, and R^2 = .10, what is the regression's prediction of Y for an X of 20? What is Y bar for an X bar of 20.4?
Homework Answers
The regression equation is y = 300 - 4*x
what is the regression's prediction of Y for an X of 20?
x = 20
y = 300 - 4*20 = 220
The prediction of Y for an X of 20 is 220.
b0 = 300
b1 = - 4
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Please help with questions 1 & 2 with work shown.
PROBLEMS General Problems 1. Using the following information. compute the a, b, and b2 coefficients for the regression of Y on X, and X2, and display the results as a prediction equation: Correlations Standara Deviation X. Variable Mean 1.00 0.60 0.40 -0.30 X. X. 1.00 25 20 1.00 6 2. Compute the beta weights for the data shown in Problem 1, writing out the regression prediction equation for standardized variables....
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3. X and Y are 2 random variables described by the following regression model: The following random sample of 3 is drawn: i (x,Y) 2 (5,12) 3 (12,20) a. Calculate b, what is the meaning of the number you calculated for ? c. Write down the sample regression line. d. Is it appropriate to use the sample regression line to predict the value of Y when X-10? If your answer is no, why is it inappropriate? If...
the DE 3xy', + (2-x)y'-y-0 and when r-0 С.-Cu-1. When r-1. ck-Ser. For Find two power series solutions to the DE. (points 10) 3 k 1,2,3, both k
the DE 3xy', + (2-x)y'-y-0 and when r-0 С.-Cu-1. When r-1. ck-Ser. For Find two power series solutions to the DE. (points 10) 3 k 1,2,3, both k
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