题目
题目

CIS-124-HYA-CRN48380 Section 29 Practice

多重下拉选择题

Suppose we believe that the assumptions of the regression model are valid for our scatter plot. Order the steps in the process for testing whether the regression slope we are seeing is real, or just due to sampling variability. Step 1: [ Select ] If 0 is not in the interval, reject the null. Otherwise fail to reject the null. Find the regression slope based on each resampled scatter plot. Use percentiles of all the slopes to construct a confidence interval for the true slope. State the null hypothesis (true slope is 0) and alternative (true slope is not 0). Use the bootstrap to generate new random samples based on the original sample. Assume the null hypothesis is true. Step 2: Specify the desired P-value cutoff and the corresponding confidence level. Step 3: [ Select ] If 0 is not in the interval, reject the null. Otherwise fail to reject the null. Find the regression slope based on each resampled scatter plot. Use percentiles of all the slopes to construct a confidence interval for the true slope. State the null hypothesis (true slope is 0) and alternative (true slope is not 0). Use the bootstrap to generate new random samples based on the original sample. Assume the null hypothesis is true. Step 4: Use percentiles of all the slopes to construct a confidence interval for the true slope. Step 5: Find the regression slope based on each resampled scatter plot. Step 6: Use the bootstrap to generate new random samples based on the original sample. Step 7: If 0 is not in the interval, reject the null. Otherwise fail to reject the null.

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思路分析
To analyze the procedure for testing whether the regression slope is real or due to sampling variability, we should look at each step in the provided sequence and understand why that step belongs where it does, and what it accomplishes. Step 1 – State the null hypothesis (true slope is 0) and alternative (true slope is not 0). - This is the foundational starting point of any hypothesis test for the slope. By explicitly stating H0: slope = 0 and Ha: slope ≠ 0, we define the claim to be tested and the framework for subsequent steps. Without a clearly stated null, we wouldn’t have a concrete basis for evaluating sampling variability. Step 2 – Assume the null hypothesis is true. - This step is essential for bootstrap......Login to view full explanation

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