An engineering form is interested in investigating whether the variability in the cost of small projects (defined as projects under $10 million) can be accounted for, in part by differences in the number of direct engineering consulting hours billed. A random sample of 24 small projects was selected from small projects performed over the past two years. The number of engineering consulting hours billed for each project (independent variable), along with the project's cost (dependent variable, expressed in thousands of dollars), was recorded. A portion of the Excel output is shown below. Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA 309.76 24 df SS MS F 1 Regression Residual Total 2110931.42 23 18023048.22 Standard Error Coefficients 513.92 1.09 Stat 1.55 P-value 0.13 Intercept Billed Hours 330.60 0.08 Question 38 2 pts f - (). Use the F test to determine whether there is a significant relationship between billed consulting hours and project costs. Use a = 0.05. Compute the test statistic value. D Question 39 2 pts f - Gi). What is the p-value? op value is less than 0.01 O p value is between 0.05 to 0.1 Op-value is between 0.025 to 0.05 O p-value is between 0.01 to 0.025 D Question 40 2 pts f-(i). Find the critical value. D Question 41 2 pts f - (iv). What is your conclusion? Do not reject Ho.Relationship is not significant Reject Ho. Relationship is significant. Do not reject Ho. Relationship is significant. Reject Ho. Relationship is not significant