An independent researcher wants to investigate if the factors which determine the house rent (Y, measured in dollars), such as the distance of the house from the airport (X, ), the time since the house was built (X2), are significant or not. He collects data from 280 prospective locations and estimates the following regression equation: Y; = 2.5 - 1.23X1 + 0.98X2. (1.25) (1.84) The 95% confidence interval for the slope coefficient B1, keeping the other variables constant will be ( - 3.69 , 1.23 ). (Round your answer to two decimal places. Enter a minus sign if your answer is negative.) Based on the calculated confidence intervals, we can say that at the 5% significance level, we will fail to reject the hypothesis B1 = 0. The 99% confidence interval for the slope coefficient 2, keeping the other variables constant will be ( (Round your answer to two decimal places. Enter a minus sign if your answer is negative.) Based on the calculated confidence intervals, we can say that at the 1% significance level, we will the hypothesis B2 = 0