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.多重下拉选择题