Suppose that a researcher, using data on 150 randomly selected bicycles, estimates the OLS regression: Price 648.95-1.56 x Weight, (176.4) (0.42) where Price measures the price of the bike in dollars and Weight measures the weight of the The 99% confidence interval for the intercept, Bo, will be (.). (Round your answers to two decimal places.) The 99% confidence interval for the slope, B₁, will be (.). (Round your answers to two decimal places. Enter a minus sign if your answer is negative.) th bike in kilograms. Based on the calculated confidence intervals, and a two-tailed hypothesis test, we can say that at the 1% significance level, we will the hypothesis ẞ₁ = -0.8. the hypothesis B = 165, and we will