The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995. Retail Sales " l. I. 169.256 ll 202.297 IE 222.266 Let S (t) be the retails sales in billions of dollars in t years since 1995. A linear model for the data is F(t) = 9.44t + 84.182. 220 210 200 I90 I80 I 70 160 150 140 130 120 110 100 90 80 9 12 d: Use the above scatter plot to decide whether the linear model fits the data well. O The function is a good model for the data. 0 The function is not a good model for the data Estimate the retails sales in the U. S. in 2016. C] billions of dollars. Use the model to predict the year that corresponds to retails sales of $231 billion. C] Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the profits (in millions of dollars). Determine if there is a significant positive linear correlation between advertising cost and profit . Use a significance level of 0.05 and round all values to 4 decimal places. Advertising Cost Profit 3 25 26 25 28 31 33 GNO'mA Ho:p=0 Ha:p>0 Find the Linear Correlation Coefficient rm Find the p-value p-value = C] The p-value is 0 Less than (or equal to) a 0 Greater than a The p-value leads to a decision to 0 Accept Ho 0 Do Not Reject Ho 0 Reject Ho The conclusion is 0 There is a significant negative linear correlation between advertising expense and profit. 0 There is a significant positive linear correlation between advertising expense and profit. 0 There is insufficient evidence to make a conclusion about the linear correlation between advertising expense and profit. 0 There is a significant linear correlation between advertising expense and profit. Question 2