Chapter 14 Q2 See attachment

An analyst was interested in the relationship between a company's Dependent variable is: LogSales assets and sales. She created the displayed regression analysis. R squared = 30.9% She took the logarithm of these variables to make the relationship s = 0.4286 with 78 - 2 =76 degrees of freedom more linear. The assumptions for regression inference appeared to be satisfied. Use the output to the right to complete parts a and b. Variable Coefficient SE(Coeff) t-ratio P-value Intercept 1.332 0.4385 3.04 0.0032 LogAssets 0.527 0.4833 1.09 0.2792 a) Is there a significant linear association between LogAssets and LogSales? Find the t-value and P-value to test an appropriate hypothesis and state your conclusion in context. First, state the appropriate hypotheses. Ho: There is linear association between LogAssets and LogSales (B 0). HA: There is linear association between LogAssets and LogSales (B, 0). What is the t-value for this test? t= (Do not round.)What is the P-value for this test? O 0.0032 O 0.2792 Perform the hypothesis test and state your conclusion in context. Choose the correct answer below. O A. The high P-value indicates there is insufficient evidence of a linear association between O B. The high P-value indicates there is sufficient evidence of a linear association between LogAssets and LogSales LogAssets and LogSales O C. The low P-value indicates there is insufficient evidence of a linear association between O D. The low P-value indicates there is sufficient evidence of a linear association between LogAssets and LogSales LogAssets and LogSalesb) Do you think that a ccrnpanfs assets serve as a useful predictor of their sales? 0 A. O B. O c. O D. A company's assets should be very helpful in predicting sales. Since R2 = 30.9%, it is true that 30.9% of the variability in LogSales can be accounted for by chAssets. A company's assets should be very helpful in predicting sales. Since R2 = 30.9%, it is true that 69.1 % cf the variability in LogSaies can be accounted for by chAssets. A company's assets may be of some help in predicting sales. Since R2 =30.9%. it is true that 69.1% cfthe variability in LogSales can be accounted for by chAssets. A company's assets may be of some help in predicting sales. Since R2 =30.Q%. it is true that 30.9% cfthe variability in LogSales can be accounted for by chAssets