Pennsylvania Refining Company is studying the relationship between the pump price of gasoline and the number of gallons sold. For a sample of 17 stations last Tuesday, the correlation was 0.51. 1. State the decision rule for 0.025 significance level. (Round your answer to 3 decimal places.) Reject H0 if t > 2. Compute the value of the test statistic. (Round your answer to 3 decimal places.) Value of the test statistic is 3. Can we conclude that the correlation in the population is greater than zero? Use the 0.025 significance level. |но. We conclude that the correlation in the population is Zero.

You wish to determine if there is a positive linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 60 35 55 23 22 32 40 36 40 18 38 33 80 28 37 25   Ho: ρ = 0Ha: ρ > 0 1/The p-value leads to a decision to Reject Ho Do Not Reject Ho Accept Ho   2/The conclusion is  There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. There is a significant positive linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. There is a significant negative linear correlation between driver age and number of driver deaths. please choose correct answer in each…

Listed below are amounts of bills for dinner and the amounts of the tips that were left. 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. Use a significance level of a = 0.01. If everyone were to tip with the same percentage, what should be the value of r? 93.68 Bill (dollars) Tip (dollars) 30.46 48.91 90.03 64.35 104.74 O 3.59 8.21 8.36 14.33 12.70 17.38

You wish to determine if there is a positive linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 60 35 55 23 22 32 40 36 40 18 38 33 80 28 37 25   Ho: ρ = 0Ha: ρ > 0 Find the Linear Correlation Coefficient    r = ? Find the p-value   p-value =    The p-value is ? Greater than αα or  Less than (or equal to) α