Calculate the T-stat of a regression given that the coefficient value is 0.000067, the Standard Deviation Error is 0.00007, and the p-value is .3647
The T-statistic can be calculated using the formula:
T-stat = (coefficient value) / (Standard Deviation Error)
In this case, the coefficient value is 0.000067 and the Standard Deviation Error is 0.00007. Plugging in these values into the formula, we get:
T-stat = 0.000067 / 0.00007 = 0.9571
Therefore, the T-statistic of the regression is approximately 0.9571.
To calculate the T-stat of a regression, we need the coefficient value, the standard deviation error, and the p-value.
The T-statistic is calculated by dividing the coefficient value by the standard deviation error. In this case, the coefficient value is 0.000067 and the standard deviation error is 0.00007.
T-stat = Coefficient value / Standard deviation error
T-stat = 0.000067 / 0.00007
T-stat ≈ 0.9571
Therefore, the T-stat of the regression is approximately 0.9571.
To calculate the T-stat of a regression, you can use the following formula:
T-stat = Coefficient / Standard Deviation Error
In this case, the coefficient value is 0.000067, and the Standard Deviation Error is 0.00007. So:
T-stat = 0.000067 / 0.00007
Simplifying, we get:
T-stat = 0.957
Now, to interpret the T-stat, we need to compare it to the critical values associated with the desired confidence level. Since you have not specified the desired confidence level, I cannot provide the exact critical value. However, typical confidence levels are 90%, 95%, and 99%.
To find the critical value, you can use a T-distribution table or a statistical software such as Excel. This table or software will provide the critical values based on the degrees of freedom and the desired confidence level.
Once you have the critical value, you can compare it to the calculated T-stat to determine if the coefficient is statistically significant or not. If the calculated T-stat is greater than the critical value, it indicates that the coefficient is statistically significant. If the calculated T-stat is less than the critical value, it suggests that the coefficient is not statistically significant.
Additionally, you mentioned that the p-value is 0.3647. The p-value is another way to determine the statistical significance of the coefficient. If the p-value is less than the significance level (commonly set at 0.05), it suggests that the coefficient is statistically significant. If the p-value is greater than the significance level, it implies that the coefficient is not statistically significant.
Remember, the interpretation of statistical significance depends on the chosen level of confidence and the specific context of the analysis.