Answer :

Final answer:

Asterisks on statistical regression tables are used to indicate the confidence level of coefficients, with more asterisks denoting higher levels of confidence. No asterisks suggest no significant relationship between the variables and the outcome.

Explanation:

In statistical analysis, it is common to use asterisks to indicate the confidence level of a coefficient in a regression table. When you see one asterisk (*), this suggests that the relationship between the outcome and the variable is significant with a 90% confidence level. With two asterisks (**), the confidence level increases to 95%, and three asterisks (***), it reaches 99%. These markers give researchers a quick method to assess the significance of their findings.

If no asterisks are present, it's an indication that the relationship was not statistically significant, perhaps due to random variation or systematic factors. In such cases, the variables might not have an important influence on the outcome. Most statistical programs, including but not limited to Stata, R, SPSS, and SAS, automatically provide these significance levels in their output, which helps researchers interpret and report their data correctly.

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