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CULULIUCCIONS You have 30 minutes for this quiz. D Question 1 3 pts Question set 1:...
question #1 A-D. Please show work. Q1. The following Regression function has been developed to check...
question #1 A-D. Please show work.
Q1. The following Regression function has been developed to check the relationship between the dependent variable y and the independent variable x1. Consider the following Minitab output and answer the questions. Regression Equation 9 = 0.86 + 0.65 x1 a) (4pt). Please fill out the Coefficients table appropriately. Coefficients Term Coef SE Coef T-Value P-Value VIF Constant (1) 1.38 16.58 0.000 X1 (ii) 0.231 7.00 0.000 1.00 b) (4pt). Please fill out the ANOVA...
ANOVA problem, data given! Please help 8 pts D Question 1 A researcher is interested to...
ANOVA problem, data given! Please help
8 pts D Question 1 A researcher is interested to find out how the engine displacement, vehicle weight, and the type of transmission [i.e. automatic & manual] affect the automobile gasoline mileage. Type of transmission is represented by one dummy variable: automatic (-1, if transmission is automatic; 0, if transmission is manual) Part of the raw data and the regression output of 40 different car models are given below. Displacementícubic Weightlb) in) Automobile Miles/gallon...
Analysis of Variance Source DF Adj SS Adj MS F-Value P-Value Regression 3 2432.5 810.84 44.44 ...
Analysis of Variance Source DF Adj SS Adj MS F-Value P-Value Regression 3 2432.5 810.84 44.44 0.000 Horsepower (X1) 1 234.5 234.54 12.85 0.001 Weight (X2) 1 147.2 147.17 8.07 0.007 Transmission(X3) 1 144.9 144.88 7.94 0.007 Error 46 839.3 18.25 Total 49 3271.8 Does the regression coefficient of transmission type have a practical meaning in the context of this problem? Show (here) that this coefficient is numerically equal to SSR/SST. Specifically in this problem,...
1 out of 1 points This applies to questions 3 and 4 Suppose you have fit...
1 out of 1 points This applies to questions 3 and 4 Suppose you have fit a linear regression equation as follows: û = 200+ 0.10X1 +0.20x2 -0.93X3 Calculate the estimated value of y if xj is 100, x2 is 50, and x3 is 200. Provide your answer as a whole number. Selected Answer: 34 Question 4 O out of 1 points Suppose the true value of y is equal to 40 when X1 is 100, x2 is 50, and...
Please use Excel, and show all functions. 3. Answer the following question for where Y has...
Please use Excel, and show all functions.
3. Answer the following question for where Y has been regressed on X1, X2, and X3. Use the linear regression output in the Excel file. Your answers should be rounded to 2 decimal places. a. What is the equation for the line of best fit or regression line? b. The proportion is for the amount of the variability of Y that is explained or accounted for by the model. C. The correlation between...
What is the value of the R square for this problem? Please help! 8 pts D...
What is the value of the R square for this problem? Please
help!
8 pts D Question 2 A researcher is interested to find out how the engine displacement vehicle weight, and the type of transmission [i.e. automatic& manual] affect the automobile gasoline mileage. Type of transmission is represented by one dummy variable: automatic (-1, if transmission is automatic; = 0, if transmission is manual) Part ef the raw data and the regression output of 40 different car models are...
8 pts A researcher is interested to find out how the engine displacement, vehicle weight, and...
8 pts A researcher is interested to find out how the engine displacement, vehicle weight, and the type of transmission [i.e. automatic & manual] affect the automobile gasoline mileage. Type of transmission is represented by one dummy variable: automatic (-1, if transmission is automatic; O, if transmission is manual) Part of the raw data and the regression output of 40 different car models are given below. Displacementícubic Weight(lb in) Automatic Trans Automobile Miles/gallon Corvette 22.50 X Cruiser19.30x Omega X 440...
Question 3: Evaluate this model with the global test at the significance level a 0.05. (6...
Question 3: Evaluate this model with the global test at the significance level a 0.05. (6 points) Step 1: State the hypotheses H1: Step 2: Compute the global F-statistic for the model. (Round to the nearest 100) Step 3: Find F-value for the critical value. (Round to the nearest 100) Step 4: State decision rule Step 5: State a conclusion and interpret the conclusion. Table 2 presents the parameter estimates of the regression model. Conduct a test of Question 4:...
As a statistical consultant, you have been asked to develop a linear model which shall be...
As a statistical consultant, you have been asked to develop a linear model which shall be given to first year executive MBA students. Variable Name Description X1 Gender Male or Female X2 GMAT Score Score on GMAT Test X3 College Degree Previously Earned Bachelors, Masters, or PhD Y Income Annual Income in Thousand Dollars Where 1=Male and 2= Female for X1 and B = Bachelors Degree, M=Master’s Degree, and P= PhD for X3. Given this data, recode the variables...
Assume that vou build a multiple linear regression model using three independent predictor variables, You initialy...
Assume that vou build a multiple linear regression model using three independent predictor variables, You initialy determine that X1 should be included in the model. You then test the other model combinations that indlude X1. Based on the results below, Which model would you choose and why? Std. Adj R Error Model R2 X1 0.85 0.841 2969.57 X1+X2 0,852 0.834 |3031.69 0.888 2491.95 0.902 0.884 2539.88 X1+X3 0.9 Full X1+X2. It has the lowest Adj R and the highest Standard...
question #1 A-D. Please show work.
Q1. The following Regression function has been developed to check the relationship between the dependent variable y and the independent variable x1. Consider the following Minitab output and answer the questions. Regression Equation 9 = 0.86 + 0.65 x1 a) (4pt). Please fill out the Coefficients table appropriately. Coefficients Term Coef SE Coef T-Value P-Value VIF Constant (1) 1.38 16.58 0.000 X1 (ii) 0.231 7.00 0.000 1.00 b) (4pt). Please fill out the ANOVA...
ANOVA problem, data given! Please help
8 pts D Question 1 A researcher is interested to find out how the engine displacement, vehicle weight, and the type of transmission [i.e. automatic & manual] affect the automobile gasoline mileage. Type of transmission is represented by one dummy variable: automatic (-1, if transmission is automatic; 0, if transmission is manual) Part of the raw data and the regression output of 40 different car models are given below. Displacementícubic Weightlb) in) Automobile Miles/gallon...
1 out of 1 points This applies to questions 3 and 4 Suppose you have fit a linear regression equation as follows: û = 200+ 0.10X1 +0.20x2 -0.93X3 Calculate the estimated value of y if xj is 100, x2 is 50, and x3 is 200. Provide your answer as a whole number. Selected Answer: 34 Question 4 O out of 1 points Suppose the true value of y is equal to 40 when X1 is 100, x2 is 50, and...
Please use Excel, and show all functions.
3. Answer the following question for where Y has been regressed on X1, X2, and X3. Use the linear regression output in the Excel file. Your answers should be rounded to 2 decimal places. a. What is the equation for the line of best fit or regression line? b. The proportion is for the amount of the variability of Y that is explained or accounted for by the model. C. The correlation between...
What is the value of the R square for this problem? Please
help!
8 pts D Question 2 A researcher is interested to find out how the engine displacement vehicle weight, and the type of transmission [i.e. automatic& manual] affect the automobile gasoline mileage. Type of transmission is represented by one dummy variable: automatic (-1, if transmission is automatic; = 0, if transmission is manual) Part ef the raw data and the regression output of 40 different car models are...
8 pts A researcher is interested to find out how the engine displacement, vehicle weight, and the type of transmission [i.e. automatic & manual] affect the automobile gasoline mileage. Type of transmission is represented by one dummy variable: automatic (-1, if transmission is automatic; O, if transmission is manual) Part of the raw data and the regression output of 40 different car models are given below. Displacementícubic Weight(lb in) Automatic Trans Automobile Miles/gallon Corvette 22.50 X Cruiser19.30x Omega X 440...
Question 3: Evaluate this model with the global test at the significance level a 0.05. (6 points) Step 1: State the hypotheses H1: Step 2: Compute the global F-statistic for the model. (Round to the nearest 100) Step 3: Find F-value for the critical value. (Round to the nearest 100) Step 4: State decision rule Step 5: State a conclusion and interpret the conclusion. Table 2 presents the parameter estimates of the regression model. Conduct a test of Question 4:...
Assume that vou build a multiple linear regression model using three independent predictor variables, You initialy determine that X1 should be included in the model. You then test the other model combinations that indlude X1. Based on the results below, Which model would you choose and why? Std. Adj R Error Model R2 X1 0.85 0.841 2969.57 X1+X2 0,852 0.834 |3031.69 0.888 2491.95 0.902 0.884 2539.88 X1+X3 0.9 Full X1+X2. It has the lowest Adj R and the highest Standard...
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