Suppose that we have the least squares regression line Y = 3 + 2X and that the sum of the squares of the errors (SSE) for this line is 13,712. What can be said about the sum of the squares of the errors (SSE) for this data set and the line Y = 3 + 2.5X? A) The sum of the squares of the errors (SSE) for the line Y = 3 + 2.5X will be less than 13,712.

B) The sum of the squares of the errors (SSE) for the line Y = 3 + 2.5X will be 13,712.

C) The sum of the squares of the errors (SSE) for the line Y = 3 + 2.5X will be greater than 13,712.

Anull hypothesis states that the difference between 8 hours of sleep and 3 hours of sleep has no effect on the number of pictures a student will remember during a picture memory interface test (pmit). examining the mit database, an extremely small t-value of 0.1611 is found. this t-value is much smaller than the smallest t-value on the chart for p-value reference. from this information we can: select one: a. accept the null hypothesis because the p-value obtained shows that the difference between the two groups being tested is not statistically significant b. accept the null hypothesis because the p-value obtained was statistically significant c. reject the null hypothesis because of the p-value obtained d. reject the null hypothesis because the data obtained is statistically significant