Answer:
Excel output
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Choose DATA > data analysis > regression
Y input : select y values
X input : select x1 and x2 values
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Use the accompanying set of dependent and independent variables to complete parts a through c below....
B)y^=? Use the accompanying set of dependent and independent variables to complete parts a through c below. Click the icon to view the data set. a) Using technology, construct a multiple regression model with the given data. y = (( ) + ( x + ( ) x2 (Round to three decimal places as needed.) Х i - Set of dependent and independent variables 46 41 38 38 29 24 22 17 9 У X1 73 63 79 53 44...
b)y^ Use the accompanying set of dependent and independent variables to complete parts a through c below. Click the icon to view the data set. a) Using technology, construct a multiple regression model with the given data. = (O + (x + ( x2 (Round to three decimal places as needed.) i Set of dependent and independent variables - Х 10 12 16 16 22 25 28 32 Гу X1 X2 4 10 17 20 16 10 13 10 6...
Score: 0 of 1 pt 6 of 10 (5 complete) 15.1.3-T Use the accompanying set of dependent and independent variables to complete parts a through d below. Click the icon to view the data set. a) Construct a 95% confidence interval for the dependent variable when xy = 9 and X2 = 11. The 95% confidence interval is from a lower limit of to an upper limit of (Round to two decimal places as needed.) 0 Set of dependent and...
Consider the following set of deependent and independent variables. Complete parts a through c below. 11 14 14 21 24 26 31 Y X1 1 8 10 15 21 4 4. 7 X2 16 9 13 11 2 8 8 4 CO b. Test the significance of each independent variable using a 0.10. Calculate the appropriate test statistic The test statistic (Round to two decimal places as needed.) What is the critical t-score? Use the t-test to determine the significance...
the order is correct Score: 0 of 1 pt 6 of 10 (5 complete) 15.1.3-T Use the accompanying set of dependent and independent variables to complete parts a through d below. Click the icon to view the data set. a) Construct a 95% confidence interval for the dependent variable when xy = 9 and xy = 11. The 95% confidence interval is from a lower limit of 15.08 to an upper limit of 20.81 (Round to two decimal places as...
Consider the following set of dependent and independent variables. Using technology, check for the presence of multicollinearity. If multicollinearity is present, take the necessary steps to eliminate it. у X1 12 2 9 5 13 5 14 8 22 7 26 11 25 16 34 20 24 39 37 22 X2 15 10 13 10 2 8 7 4 8 5 X3 5 15 9 12 18 17 23 20 27 30 Select the correct choice and, if necessary, fill...
Consider the following data for a dependent variable y and two independent variables, x1 and x2. x1 x2 y 30 12 94 47 10 108 25 17 112 51 16 178 40 5 94 51 19 175 74 7 170 36 12 117 59 13 142 76 16 211 The estimated regression equation for the data is ŷ = −18.4 + 2.01x1 + 4.74x2. (a) Develop a 95% confidence interval for the mean value of y when x1 = 65...
Consider the following data for a dependent variable y and two independent variables, 21 and 22. 108 112 179 170 118 143 211 Round your all answers to two decimal places. Enter negative values as negative numbers, if necessary. a. Develop an estimated regression equation relating y to X1. û = 11 Predict y if x1 = 45. ŷ= b. Develop an estimated regression equation relating y to 22. Predict y if X2 = 15. ŷ= c. Develop an estimated...
Consider the following set of dependent and independent variables. Complete parts a through c below. y 10 11 14 14 20 24 26 32 저15597121521 x2 17 11 13 11 2 8 6 4 a. Using technology, construct a regression model using both independent variables. y = 1 3.5734 ) + ( 0.9496 ) x 1 + (-0.4001 ) x2 (Round to four decimal places as needed.) b. Test the significance of each independent variable using a 0.10. Test the...
Consider the following data for a dependent variable y and two independent variables, 31 and 22. 94 175 171 118 143 211 Round your all answers to two decimal places. Enter negative values as negative numbers, if necessary. a. Develop an estimated regression equation relating y to 21. y = Predict y if x1 = 45. b. Develop an estimated regression equation relating y to 22. ŷ= + 12 Predict y if x2 = 15. = c. Develop an estimated...