Show transcribed image text Study the MINITAB regression output that follows. How many predictors are there? What is the equation of the regression model? Using the key statistics discussed in this chapter, discuss the strength of the model and the predictors x2, x3, x4 The regression equation is 5590.0105 Xi .107 I20.579 23- 0.870 x4 Predietor -55Â·93 24.22 2.31 0.025 X1 0.01049 0.02100 0.50 0.619 2 -0.10720 0.03503 -3.06 0.003 X3 0.57922 0.07633 .59 0.000 -0.8695 0.1498 5.81 .000 S. 9.025 R-Sq 80.29 R-Sq (adj 78.79 = Analys| ot Variance ouree DE S3 Regression Residual Rrror 5S 4479.7 Total 4 18088.5 4522.1 55.52 0.000 ,4 59 225682 The number of predictors is: The regrassion equation is (Round all numbers to 4 decimal places) x1 x2 +

Study the MINITAB regression output that follows. How many predictors are there? What is the equation of the regression model? Using the key statistics discussed in this chapter, discuss the strength of the model and the predictors x2, x3, x4 The regression equation is 5590.0105 Xi .107 I20.579 23- 0.870 x4 Predietor -55Â·93 24.22 2.31 0.025 X1 0.01049 0.02100 0.50 0.619 2 -0.10720 0.03503 -3.06 0.003 X3 0.57922 0.07633 .59 0.000 -0.8695 0.1498 5.81 .000 S. 9.025 R-Sq 80.29 R-Sq (adj 78.79 = Analys| ot Variance ouree DE S3 Regression Residual Rrror 5S 4479.7 Total 4 18088.5 4522.1 55.52 0.000 ,4 59 225682 The number of predictors is: The regrassion equation is (Round all numbers to 4 decimal places) x1 x2 +