Given a text T, and several options, according to the question posed in the text T to choose the most appropriate option from the options as the answer, please directly output the most appropriate option, do not need to output the explanation.

Howard Golub, CFA, is preparing to write a research report on Stellar Energy Corp. common stock. One of the world's largest companies, Stellar is in the business of refining and marketing oil. As part of his analysis, Golub wants to evaluate the sensitivity of the stock's returns to various economic factors. For example, a client recently asked Golub whether the price of Stellar Energy Corporation stock has tended to rise following increases in retail energy prices. Golub believes the association between the two variables to be negative, but he does not know the strength of the association.Golub directs his assistant, Jill Batten, to study the relationships between Stellar monthly common stock returns versus the previous month's percent change in the US Consumer Price Index for Energy (CPIENG), and Stellar monthly common stock returns versus the previous month's percent change in the US Producer Price Index for Crude Energy Materials (PPICEM). Golub wants Batten to run both a correlation and a linear regression analysis. In response, Batten compiles the summary statistics shown in Exhibit 1 for the 248 months between January 1980 and August 2000. All of the data are in decimal form, where 0.01 indicates a 1 percent return. Batten also runs a regression analysis using Stellar monthly returns as the dependent variable and the monthly change in CPIENG as the independent variable. Exhibit 2 displays the results of this regression model.
| Exhibit l.Descriptive Statistics | Monthly Return Stellar | Lagged Monthly Change |
| Common Stock | CPI ENG | PP ICEM |
| Mean | 0.0123 | 0.0023 | 0.0042 |
| Standard Deviation | 0.0717 | 0.0160 | 0.0534 |
| Covariance， Stellar vs.CPI ENG | -0.00017 |
| Covariance， Stellar vs.PP ICEM | -0.00048 |
| Covariance， | CPI ENG | VS. | 0.00044 |
| PP ICEM |
| Correlation， Stellar vs.CPI ENG | -0.1452 |



| Exhibit 2.Regression Analysis with CPI ENG |
| Regression Statistics |
| Multiple R | 0.1452 |
| R-squared | 0.0211 |
| Standard error of the estimate | 0.0710 |
| Observations | 248 |
| Coefficients | Standard Error | t-Statistic |
| Intercept | 0.0138 | 0.0046 | 3.0275 |
| Slope coefficient | -0.6486 | 0.2818 | -2.3014 |


 
Did Batten's regression analyze cross-sectional or time-series data, and what was the expected value of the error term from that regression?
Option A:Data Type：Time-series Expected Value of Error Term：0
Option B:Data Type：Time-series Expected Value of Error Term：εi
Option C:Data Type：Cross-sectional Expected Value of Error Term：0

Answer: A