18 Calcurate the least square regression líne equation with the given X and Y values. Consider the values: X Y 3.1 3.6 3.8 60 61 62 63 4. 65 4.1 To Find, Least Square Regression Line EquationY a+ b X
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- Q5. Show that µY = Yµ − µY · 1. Data Mining Regression Evaluation chapter18. A multiple regression model, K = a + bX + cY + dZ, is estimated regression software, which produces the following output: D. If X equals 50, Y equals 200, and Z equals 45, what value do you predict K will take?Consider the following estimated regression model relating annual salary to years of education and work experience. Estimated Salary=11,722.40+3182.56(Education)+1202.44(Experience)Estimated Salary=11,722.40+3182.56(Education)+1202.44(Experience) Suppose an employee with 66 years of education has been with the company for 33 years (note that education years are the number of years after 8th8th grade). According to this model, what is his estimated annual salary?
- Discuss the FIVE (5) importance of adding error term in the regression model.Given the following table, use the matrix method to derive the constant and slope parametersof the sample regression function: Module test mark = f (Weekly study hours). X and Y standfor weekly study hours and module test mark respectively.X (Weekly study hours) Y (Module test mark)1 402 403 454 605 706 75In a simple linear regression equation, if X increases by 3: Select one: a. Y increases by B1 b. Y increases by B1/3 c. Y increases by 3 * (Bo + B1) d. none of the above
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- q9- Which property of linear regression is related with the size effects of individual units in a cross-section data? Select one: a. Heteroskedasticity b. Endogeneity c. Autocorrelation d. Non-normality Clear my choiceConsider the simple linear regression model given by E(y) = 1.5 + 0.23*x where y is measured in litres and x is measured in dollars. What must be the value of the slope coefficient if x is measured in thousands of dollars while the unit of measurement of y is unchanged (i.e., x is divided by 1000)? Answer:The following data relate the sales figures of the bar in Mark Kaltenbach's small bed-and-breakfast inn in portland, to the number of guest registered that week: week guests bar sales 1 16 $330 2 12 $270 3 18 $380 4 14 $315 a) The simple linear regression equation that relates bar sales to number of guests(not to time) is (round your responses to one decimal place): Bar sales = [___]+[___]X guests