For Problems Bl-22), consider this scenario. The managers of a Swiss brokerage rm are interested in nding out if the number of new clients a broker brings into the rm affects the sales generated by the broker. They ample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts In thousands of Swiss franc. These data are presented in the table that follows. 8) Referring to this scenario, make a scatter plot of the sample data. 9) Referring to this scenario, the least squares estimate of the slope is . 10) Referring to this scenario, the least squares estimate of the V-interoept is _. 11) Referring to this scenario, the prediction for the amount of sales [in $1,000s of Swiss francs) for a person who brings 25 new clients Into the firm Is 12) Referring to this scenario, the total sum of squares (SST) is . 13) Referring to this scenario, the regression sum of squares (55R) is 14) Referring to this scenario, the error or residual sum of squares (SSE) is . 15) Referring to this scenario. the coefficient of determination Is 16) Referring to this scenario, '6 of the total variation in sales generated can be explained by the linear regression model. 11) Referring to this scenario, the standard error of the estimated slope coefficient Is 18) Referring to this scenario, the coefcient of correlation is 19) Referring to this scenario. the managers of the brokerage firm want to test the hypothesis that the popuiatlon slope is equal to 0 (no linear correlation). The value of the associated t-test statistic is _ 20) Referring to this scenario, the managers of the brokerage firm want to test the hypothesis that the population slope was equal to 0 (no linear correlation). For a most with a level of signicance of 0.01, the null hypothesis should be rejected If the value of the test statistic is (provide the critical value or values). 21) Referring to this scenario, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0 (no linear correlation). The p-value of the associated t-test Is 22) Referring to this scenarioI the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0 {no linear correlation). At a level of signicance of 0.01, the null hypothesis should be [rejected OR not rejected, choose one). This analysis implies that [there is a OR there Is no, choose one) linear relationship between the independent and dependent variables