Consider the regression of salaries (Y) on tuition fees paid (X). Following information was obtained for a sample of 22 colleges. Both X and Y are measured in $'000.
Cov(x,y)=84;?yi=1386;?xi=748;?(xi?x¯)2=2205;?(yi?y¯)2=4725;?(yhat?y¯)2=3591
Estimate the model Y=a+bX
2. Find the value of a.
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Consider the regression of salaries (Y) on tuition fees paid
(X). Following information was obtained for...
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2. Changing Units Suppose we estimate a standard OLS regression equation on data X and Y and have the standard formulas: 3, L2=(X - X)(Y - Ý) 1=1(X; - X)2 Bo =Ỹ – BX Now suppose that Xi = 1+1.6Z; for some Zi. I.e., suppose that X; were generated by trans- forming some Zi. a) Show that: X = do +ajz for some do, ai (that you need to solve for). b) Plug in the expression from (a) into (X;...
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The following data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administration. GPA 2.6 3.4 3.6 3.1 3.4 3.1 Monthly Salary ($) 3,500 3,800 4,200 3,800 4,100 2,500 The estimated regression equation for these data is y 914.5 854.8x and MSE 360,484. a. Develop a point estimate of the starting salary for a student with a GPA of 3.0 (to 1 decimal). b. Develop a 95% confidence interval...
The following data are the monthly salaries y and the grade point averages x for students...
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The following data are the monthly salaries y and the grade point averages x for students...
The following data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administration. GPA 2.6 3.4 3.7 3.1 3.5 2.9 Monthly Salary (S) 3,600 3,800 4,200 3,700 4,100 2,500 The estimated regression equation for these data is y- 564.3 +964.3x and MSE-268,482. a. Develop a point estimate of the starting salary for a student with a GPA of 3.0 (to 1 decimal). b. Develop a 95% confidence interval for...
The following data are the monthly salaries y and the grade point averages x for students...
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1. Consider the following regression model: Y; = Bo + B1 * Xi + Ei S&x=21 SSTx = 10, SST = 90, R2 = 0.6 n = 11 x= 10, y = 30 Where y = output in pounds and x is the amount of labor used measured in hours. a. Estimate a 95% confidence interval for ß, . What is the interpretation of this confidence interval?
The following data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administration. GPA 2.6 3.4 3.6 3.1 3.4 3.1 Monthly Salary ($) 3,500 3,800 4,200 3,800 4,100 2,500 The estimated regression equation for these data is y 914.5 854.8x and MSE 360,484. a. Develop a point estimate of the starting salary for a student with a GPA of 3.0 (to 1 decimal). b. Develop a 95% confidence interval...
The following data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administration. GPA 2.7 3.5 3.7 3.2 3.4 2.7 Monthly Salary () 3,500 3,900 4,200 3,700 4,100 2,500 The estimated regression equation for these data is y-313.6+1,238.6x and MSE-141,222 a. Developa point estimate of the starting salary for a student with a GPA of 3.0 (to 1 decimal) b. Develop a 95% confidence interval for the mean sta...
The following data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administration. GPA 2.6 3.4 3.7 3.1 3.5 2.9 Monthly Salary (S) 3,600 3,800 4,200 3,700 4,100 2,500 The estimated regression equation for these data is y- 564.3 +964.3x and MSE-268,482. a. Develop a point estimate of the starting salary for a student with a GPA of 3.0 (to 1 decimal). b. Develop a 95% confidence interval for...
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11. Consider the following set of n-6 observations of x and y given in Table 1 i. Graph the observations in a scatter plot on paper by hand by plotting x on the x-axis and y on the y-axis. Comment on the relationship. Using observations from Table 1, what are the sample means i and-? Using observations from Table 1, calculate the deviations and squared deviations from the sample mean for x: (x 11. iii. -x) and (x )for each...
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