Calculate (i) the regression equation of X on Y and Y on X from the following data and (ii) estimate X when Y is 20 X: 10 12 13 17 18 Y: 7. 9. 13
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A: Since, the student has mentioned to solve part C, so we are solve accordingly only part C.
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A: In this case x is the independent variable and y is the dependent variable.
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Q: Y X2 X3 1 1 2 3 2 1 8 3 -3 Based on these data, estimate the following regressions:
A: A2 and B2 are not same.
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A: As per our guidelines we can solve first three sub part of question and rest can be reposted.…
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Q: a) Determine the regression e Y= ax + bx + C
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Q: Q5/ A: Use Linear Regression to fit the following experimental data X 3 2 3 1 6 Y 1 2 10 9 8 05 5 10
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Q: Q#2: (a) Calculate the estimated multiple linear regression equation for the following data using…
A: Given : ∑y=89,∑x1=30,∑x2=52,∑x12=238,∑x22=582, ∑x1y = 619,∑x1x2=351,∑x2y=1007,n=5
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Q: The table below shows the number of state-registered automatic weapons and the murder rate for…
A: The regression analysis is conducted here by using EXCEL. The software procedure is given below:…
Q: 3. Find the regression line y atbx ? y xy
A: Given data,
Q: Q.4. Obtain the equation of the line of regression of y on x from the following data and estimate…
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Q: The table below shows the number of state-registered automatic weapons and the murder rate for…
A: Given, x y 11.9 14 8.4 11.1 6.8 9.6 3.8 7.3 2.9 6.7 2.7 6.5 2.6 6.3 0.5 4.7
Q: x2 4 5 6 v 7 11 13 20 y
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Q: Given are five observations collected in a regression study on two variables. xi 2 6 9 13 20…
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Q: Determine the regression equation for the data in the table. x 0 2 -2 1 4 3 y 3 -3 12 0 -11 -4
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Q: Given the following information determine the linear regression model Sxx = 1106.56 Sxy=-41,112.65…
A: It is given that SXX=1106.56, SXY=-41,112.65 and B0 is 2627.82.
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- The estimated regression equation for a model involving two independent variables and 10 observations follows. y^=31.5111+0.5611x1+0.3254x2 a. Interpret b1b and b2 in this estimated regression equation (to 4 decimals ) b1____ b2____ b. Estimate y when x1=180 and x2=310 ( to 3 decimals)#b. Develop an estimated regression equation with both television advertising and newspaper advertising as the independent variables (to 2 decimals).The estimated regression equation for a model involving two independent variables and 10 observations follows. ŷ = 32.4394 + 0.5695x1 + 0.7347x2 a. Interpret b1 and b2 in this estimated regression equation (to 4 decimals). b. Estimate y when x1 = 180 and x2 = 310 (to 3 decimals).
- Given are five observations collected in a regression study on two variables. xi 2 6 9 13 20 yi 7 18 9 26 23 Compute b0 and b1 (to 1 decimal).b1 b0 Complete the estimated regression equation (to 1 decimal).^y = + x Use the estimated regression equation to predict the value of y when x = 6 (to 1 decimal).^y =Use the following table to find the equation of the regression line, between x and y x312304y210342The prelim grades (x) and midterm grades (y) of a sample of 10 MMW students is modeled by the regression line y = 12.0623 + 0.7771x. Estimate the prelim grade if the midterm grade is 83.
- The grades of a sample of 9 students on a prelim exam (x) and on the midterm exam (y) are shown below. Find the regression equation. y = 34.661 + 0.433x y = 0.777 + 12.0623x y = 12.0623 + 0.777x y = 34.661 - 0.433xFor x={1 2 3 4 5} and y={2 1 4 3 6} use normal equation (c =(ATA)-1ATy) to find with: a-) linear regression coefficients, b-) the linear regression equation, c-) residel sum of squares(RSS)The grades of a sample of 9 students on a prelim exam (x) and on the midterm exam (y) are shown in the excel worksheet. Find the regression equation
- A surgery intern has conducted a study of the sleeping habits of her colleagues and has developed a following regression equation: y-hat = 6 + 0.1X, where X is the number of hours working on one shift, and Y is the number of hours sleeping at night after that shift. Yvette worked 10 hours and slept 8 hours. What is Yvette’s residual? 0.1 1 6 7The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. xx 11.7 8.3 7 3.4 2.4 2.6 2.6 0.9 yy 14 11.1 10.1 6.7 6.1 6.4 6.5 4.9 xx = thousands of automatic weaponsyy = murders per 100,000 residents Determine the regression equation in y = ax + b form and write it below. (Round to 2 decimal places):____________________ A) How many murders per 100,000 residents can be expected in a state with 10.8 thousand automatic weapons? Round to 3 decimal places. Answer = B) How many murders per 100,000 residents can be expected in a state with 4.4 thousand automatic weapons? Round to 3 decimal places. Answer =A. Identify the regression analyses necessary for testing this initial model. B. What are the direct and indirect effects of z2 on z5?