Suppose that a researcher, using data on 150 randomly selected bicycles, estimates the OLS regression: Price 672.65 - 1.56 × Weight, (185.8) (0.28) where Price measures the price of the 1th bike in dollars and Weight measures the weight of the 1th bike in kilograms. 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.) = 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 B₁ = − 0.8. the hypothesis B0 = 165, and we will

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