Hashim obtained a random sample of students and noticed a positive linear relationship between their ages and their backpack weights. A 95% confidence interval for the slope of the regression line was 0.39 plus or minus 0.23. Hashim wants to use this interval to test the null hypothesis that the true slope of the population regression line, so this is a population parameter right here for the slope of the population regression line, is equal to zero, versus the alternative hypothesis is that the true slope of the population regression line is not equal to zero, at the alpha is equal to 0.05 level of significance. Assume that all conditions for inference have been met. So given the information that we just have about what Hashim is doing, what would be his conclusion? Would he reject the null hypothesis, which would suggest the alternative, or would he be unable to reject the null hypothesis? Well, let's just think about this a little bit.