fter calculating the correlation coefficient, it is obtained that the value is not significant at the 5% level. What can be done to make a significant difference?

The data shown below consists of the price (in dollars) of 7 events at a local venue and the number of people who attended. Determine if there is significant linear correlation between ticket price and number of attendees. Use a significance level of 0.01 and round all values to 4 decimal places. Ticket Price 6 10 14 18 22 26 30 r= Ho: p= 0 Ha: p=0 Find the Linear Correlation Coefficient Find the p-value p-value= Attendence 151 146 146 145 The p-value is 138 137 137 O Less than (or equal to) a O Greater than a The p-value leads to a decision to Accept Ho Reject Ho Do Not Reject Ho The conclusion is There is insufficient evidence to make a conclusion about the linear correlation between ticket price and attendance. There is a significant negative linear correlation between ticket price and attendance. There is a significant positive linear correlation between ticket price and attendance. There is a significant linear correlation between ticket price and attendance.

A student collects data from friends and family to see if there is a linear relationship between a person's age (x) and the person's shoe size (y). Using the data in the table calculate the Pearson Correlation Coefficient for the sample. 56 19 45 28 33 ty 6 17 9 O 0.07 -0.07 1.00 r does not exist in this case.

The response of a colorimetric test for glucose was checked with the aid of standard glucose solutions. Calculate the correlation coefficient. Show detailed calculation.

d) Correlation by eye Sample size=45 y 20- 15- og 8. 10- 5. 10 15 20 25 X Try to guess the sample correlation within +/- 0.1 Guess: Correlation: Sample coeficient of correlation a o 00 00

Weight (lbs.) 173 184 194 214 168 220 188 188 207 167 217 Systolic Blood Pressure 132 143 153 162 154 168 137 149 159 128 1 1. The sample correlation coefficient is _____________

Determine whether the correlation coefficient is statistically significant at the specified level of significance for the given sample size. r=−0.462, α=0.05, n=22

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? Bill (dollars) Tip (dollars) 31.80 52.94 85.82 102.16 60.17 111.77 D 5.46 6.07 15.82 15.40 11.15 20.32 Construct a scatterplot. Choose the correct graph below. O A. O B. Oc. D. Q 25- 25- 25 0- 30 0- 30 Bill Amount ($) 0+ 30 Bill Amount (S) 0- 30 Bill Amount (S) 120 120 120 Bill Amount (S) 120 The linear correlation coefficient is r= 0.954 (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Ho: p H,: P (Type integers or decimals. Do not round.) Tip Amount ($) ip Amount ($) Tip Amount ($) Tip Amount ($)

Assume that you have paired values consisting of heights​ (in inches) and weights​ (in lb) from 40 randomly selected men. The linear correlation coefficient r is 0.567. Find the value of the coefficient of determination. What practical information does the coefficient of determination​ provide?       Question content area bottom Part 1 Choose the correct answer below.     A. The coefficient of determination is 0.321. 32.1​% of the variation is explained by the linear​ correlation, and 67.9​% is explained by other factors.   B. The coefficient of determination is 0.679. 67.9​% of the variation is explained by the linear​ correlation, and 32.1​% is explained by other factors.   C. The coefficient of determination is 0.321. 67.9​% of the variation is explained by the linear​ correlation, and 32.1​% is explained by other factors.   D. The coefficient of determination is 0.679. 32.1​% of the variation is explained by the linear​ correlation, and 67.9​% is…

Determine whether the given correlation coefficient is statistically significant at the specified level of significance and sample size. r=0.438, α=0.01 , n=9