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c-1. State the decision rule for .05 significance level: Hy: B. = B= = B; =B. =P, =0; H, : Not all B's are 0.
c-1. State the decision rule for .05 significance level: Hy: B. = B= = B; =B. =P, =0; H, : Not all B's are 0. (Round your answer to 2 decimal places.) Reject H, if F > c-2. Compute the value of the F statistic. (Round your answer to 2 decimal places.) Computed value of F is c-3. Can we conclude that the set of regression coefficients could be different from 0? Use the .05 significance level. of the regression coefficients (Click to select) (Click to select) are zero. For X1 For X= For X3 For X. For Xe Ho: B1 = 0 Ho: B= = 0 Ho: P3 = 0 Ho: B. = 0 Ho: B= = 0 Hi: B1 #0 Hi: B= = 0 Hi: B= = 0 HI: B. =0 H1: B= = 0d-1. State the decision rule for .05 significance level. (Round your answers to 3 decimal places.) Reject Ho ift or t= d-2. Compute the value of the test statistic. (Round your answers to 2 decimal places. Negative answers should be indicated by a minus sign.) t - value X1 Xz X3 X. XE d-3. Which variable would you consider eliminating? Consider eliminating variables (Click to select)The following regression output was obtained from a study of architectural firms. The dependent variable is the total amount of fees in millions of dollars. Predictor Coeff SE Coeff p-value Constant 7.987 2.967 2.690 0.010 0.122 0.031 3.920 0.000 -1.120 0.053 -2.270 0.028 -0.063 0.039 -1.610 0.114 0.523 0.142 3.690 0.001 -0.065 0.040 -1.620 0.112 Analysis of Variance Source DF SS MS F p-value Regression 5 3710.00 742.00 12.89 0.000 Residual Error 46 2647.38 57.55 Total 51 6357.38 X, is the number of architects employed by the company. X, is the number of engineers employed by the company. X, is the number of years involved with health care projects. X, is the number of states in which the firm operates. X, is the percent of the firm's work that is health care-related. a. Write out the regression equation. (Round your answers to 3 decimal places. Negative answers should be indicated by a minus sign.) Y= X. + X= + X= + K. + b. How large is the sample? How many independent variables are there? Sample n Independent variables k
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