Data for two variables, x and y, follow. xi 22 24 26 28 40 yi 17 26 36 40 75 Compute the studentized deleted residuals for these data. (Round your answers to two decimal places.) xi yi Studentized Deleted Residual 22 17 -1.94 24 26 -.12 26 36 1.79 28 40   40 75

Which data has. A stronger linear correlation? Data 1 with an r= 0.7 or data 2 with an r= -0.8? Why?

Explain Graphically by drawing hypothetical disgrams when the coefficient of correlation between two variables is (a) perfect positive, (b) perfect Negative, (c) zero?

A manager wishes to determine the relationship between the number of years the manager's sales representatives have been with the company and their average monthly sales (in thousands of dollars). Calculate the linear correlation coefficient.Years with company, x: 6,7,14,11,12,19,7,5,15Sales, y: 21,23,68,52,55,51,38,45,110

Refer back to the histogram from question #4. Compute the mean number of shipping days Compute the median number of shipping days Write the 5-number summary for this data. Create box plot.

You wish to determine if there is a 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 65 26 33 25 38 34 42 30 17 34 80 20 30 35 71 29 65 28 50 30 Но: р %3D 0 На: р 2 0 Find the Linear Correlation Coefficient r = Find the p-value p-value The p-value is O Less than (or equal to) a O Greater than a The p-value leads to a decision to O Reject Ho О Аcсеpt Ho O Do Not Reject Ho The conclusion is There is a significant linear correlation between driver age and number of driver deaths. O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. O There is a significant negative linear correlation between driver age and number of driver deaths. O There is a significant positive…

44 35 40 44 44 39 40 47 45 45 44 44 46 Find the mean cost. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. A. The mean cost is (Round to one decimal place as needed.) B. There is no mean cost. Does the mean represent the center of the data? A. The mean represents the center. B. The mean does not represent the center because it is the largest data value. C. The mean does not represent the center because it is not a data value. D. The mean does not represent the center because it is the smallest data value. OE. There is no mean cost. Find the median cost. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. OA. The median cost is (Round to one decimal place as needed.) OB. There is no median cost. 40 0 0 0 O

There is a negative correlation between the average litres of wine consumed by residents of a country and the incidence of national coronary deaths. Explain why correlation in this case does not imply causation by suggesting a third variable z that explains the correlation. Is z a common response or a confounding variable? Draw a digraph illustrating the between x, y, and z