![]() Replacing each yi in the formula for s2 by the r.v. In fact, if you compare the p-value from the t-test above with the p-value in the linear regression analysis for the marijuana use variable, you will see that the one from the linear regression analysis is exactly twice the one from the t-test, because the linear regression analysis is performing a two-tailed test. The sampling distribution of the regression coefficient is a t-distribution with n - 2 degrees of freedom and the standard deviation of this distribution is. estimated variance based on n 1 df in our previous t-tests). The t-test is often presented as a specialized tool for comparing means, but it can also be viewed as an application of the general linear model. For Xlist and Ylist, make sure L1 and L2 are selected since these are the columns we used to input our data. The regression line can be used to predict or estimate missing values, this is known as interpolation. ![]() ![]() To compute the standard errors for this analysis, we can use exactly the same equations that we used for linear regression – since this really is just another example of linear regression. Then scroll down to 8: Linreg (a+bx) and press Enter. ![]()
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