HatsforAll, a major producer of hats, hired a research firm to study the demand for its hats. The research firm used 20 years of data on sales of the company's hats and included two independent variables: the annual average price of the hats and the annual average winter temperature in the company's marketing areas. (The theory behind the temperature variable is that consumers are more likely to buy hats when the temperature is colder.) The estimated coefficient for the price variable is -5.8 with a standard error of 0.8, and the estimated coefficient for the temperature variable is -20.8 with a standard error of 15.6. Based on the results of survey cards included with the hats, the research firm is confident that higher-income people buy more hats. In addition to the above two independent variables, the researcher should also include estimate more accurate. The coefficient of the temperature variable suggests that it is significant. is a third explanatory variable to make the

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HatsforAll, a major producer of hats, hired a research firm to study the demand for its hats. The research firm used 20 years of data on sales of the company's hats
and included two independent variables: the annual average price of the hats and the annual average winter temperature in the company's marketing areas. (The
theory behind the temperature variable is that consumers are more likely to buy hats when the temperature is colder.) The estimated coefficient for the price variable
is -5.8 with a standard error of 0.8, and the estimated coefficient for the temperature variable is -20.8 with a standard error of 15.6. Based on the results of survey
cards included with the hats, the research firm is confident that higher-income people buy more hats.
In addition to the above two independent variables, the researcher should also include
estimate more accurate.
The coefficient of the temperature variable suggests that it is
significant
is a third explanatory variable to make the
Transcribed Image Text:HatsforAll, a major producer of hats, hired a research firm to study the demand for its hats. The research firm used 20 years of data on sales of the company's hats and included two independent variables: the annual average price of the hats and the annual average winter temperature in the company's marketing areas. (The theory behind the temperature variable is that consumers are more likely to buy hats when the temperature is colder.) The estimated coefficient for the price variable is -5.8 with a standard error of 0.8, and the estimated coefficient for the temperature variable is -20.8 with a standard error of 15.6. Based on the results of survey cards included with the hats, the research firm is confident that higher-income people buy more hats. In addition to the above two independent variables, the researcher should also include estimate more accurate. The coefficient of the temperature variable suggests that it is significant is a third explanatory variable to make the
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