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There may be an association between a country's birthrate and the life expectancy of its inhabitants. A report this past year, coming from a random sample of 28 countries, contained the following information: the least-squares regression equation relating the two variables number A of births per one thousand people (denoted by x) and female life expectancy (denoted byy and measured in years) is y : 80.45 0.48x , and the standard error of the slope of this least-squares regression line is approximately 0.18. Based on this information, test for a signicant linear relationship between these two variables by doing a hypothesis test regarding the p_opulation Slot [3,. (Assume that the variable y follows a normal distribution for each value ofx and that the other Egression assumptions are satisfied.) Use the 0.10 level of significance, and perform a two-tailed test. Then ll in the table below. (If necessary, consult a list of formulas.) V . The null ..y_puchesis: HO - I] The mwmthiis: H1 : '1 The type of test statistic: (Choose one) V The value of the test statistic: (Round to at least three [I decimal places.) The two critical values at the 0.10 level of signicance: D and I] (Round to at least three decimal places.) Based on the report, can we conclude (using the 0.10 level) that there is a signicant linear relationship between number of births per one thousand people and female life expectancy? Yes O No