The 'pizza connection' is the principle that the price of a slice of pizza is always about the same as the subway fare. Use the pizza and subway cost data in the table below to determine whether there is a linear correlation between these two items. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Based on these results, does it appear that the subway fare is always about the same as a slice of pizza. Use a significance level of a = 0.01. Click here for data on pizza costs and subway fares over the years. X Determine the linear correlation coefficient. Pizza Cost and Subway Fares The linear correlation coefficient is r=]. (Round to three decimal places as needed.) Year 1960 1973 1986 1995 2002 2003 2009 2013 2015 2019 Determine the null and alternative hypotheses. Pizza Cost 0.15 0.35 1.00 1.25 1.75 2.00 2.25 2.75 3.00 Subway Fare 0.15 0.40 0.95 1.40 1.55 2.00 2.30 2.50 2.80 2.70 Ho : P CPI 28.8 43.6 109.6 152.6 180.0 184.0 214.5 233.0 237.0 252.2 H1 : P (Type integers or decimals. Do not round.) Determine the test statistic. Print Done The test statistic is t= . (Round to two decimal places as needed. ) Determine the P-value. The P-value is . (Round to three decimal places as needed.) Since the P-value of the linear correlation coefficient is the significance level, there sufficient evidence to the claim that there is linear correlation between the subway fare and the price of a pizza slice. Based on these results, does it appear that a slice of pizza can be used to estimate the cost of the subway fare? O A. Yes, because the price of the subway and a slice of pizza appear to be correlated. O B. No, because the price of the subway and a slice of pizza do not appear to be correlated