please help

The \"best t\" line in linear regression, O minimizes the sum of the squares of the vertical distances from the data points to the regression line. 0 maximizes the sum of vertical distances from the data points to the regression line. 0 maximizes the sum of the squares of the vertical distances from the data points to the regression line. 0 minimizes the sum of vertical distances from the data points to the regression line. If the maximum allowable probability of a type I error is 5%, this would suggests that a large p-value (i.e., a value above .10) means: 0 we would not reject Ho. O we have strong evidence that H0 is not true. 0 we have some evidence that H0 is not true. How does the shape of the t-distribution compare to the normal distribution? C The t distribution is taller and less spread out, especially when n is small. O The t distribution is flatter and more spread out, especially when n is large. O The t distribution is flatter and more spread out, especially when n is small. O The t distribution is taller and less spread out, especially when n is large.Use the following information concerning blood tests to select a response: H0: u >= 25 HA: u