In the following time series linear regression equation, t is time in quarters and y is revenue in thousands of dollars. ýt= = 443.2 - 59.51Qtr1 – 59.42Qtr2+78.87Qtr3 Interpret the regression coefficient for the Qtr2 variable. On average, revenue is $59.42 thousand less in Quarter 2 as compared to Quarter 4 each year. Quarter 2 revenue decreases by $59.42 thousand as revenue values in Quarters 1, 2, and 4 increase. Revenue decreases by $59.42 thousand on average every Quarter 2. As time increases by one quarter, revenue decreases by $59.42 thousand on average.

In the following time series linear regression equation, t is time in quarters and y is revenue in thousands of dollars. ýt= = 443.2 - 59.51Qtr1 – 59.42Qtr2+78.87Qtr3 Interpret the regression coefficient for the Qtr2 variable. On average, revenue is $59.42 thousand less in Quarter 2 as compared to Quarter 4 each year. Quarter 2 revenue decreases by $59.42 thousand as revenue values in Quarters 1, 2, and 4 increase. Revenue decreases by $59.42 thousand on average every Quarter 2. As time increases by one quarter, revenue decreases by $59.42 thousand on average.

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter4: Eigenvalues And Eigenvectors

Section4.2: Determinants

Problem 11AEXP

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