Costco sells paperback books in their retail stores and wanted to examine the relationship between price and demand. The price of a particular novel was adjusted each week and the weekly sales were recorded in the table below.
![](data:image/png;base64, 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)
Which one of the following statements describes the results of the hypothesis test that the population correlation coefficient is less than zero using
α = 0.05?
▸ Because the test statistic is less than the critical value, we fail to reject the null hypothesis and conclude that the population correlation coefficient is less than zero.
▸ Because the test statistic is less than the critical value, we can reject the null hypothesis and conclude that the population correlation coefficient is less than zero.
▸ Because the test statistic is greater than the critical value, we can reject the null hypothesis and conclude that the population correlation coefficient is less than zero.
▸ Because the test statistic is greater than the critical value, we fail to reject the null hypothesis and conclude that the population correlation coefficient is not less than zero.