Show work in order to receive credit. 9. How would the probability that a random

Question

Show work in order to receive credit. 9. How would the probability that a randomly selected customer used credit card and shopped at Beth's Coffee House compare with the probability that a randomly selected used a credit card and shopped at John's Medical Supply? 10. Match the scatterplots below with r values of 0.,92,0.65,-0,05, 94. Write the correlation coefficient UNDER the appropriate scatterplot. o.65 Cellutar Percentage coe vs. cel % 0.92 Use the regression output below for the percent of the population in a country that uses cell phones and their GDP, in hundreds of billions of dollars for the remaining Simple linear regression resuits: Dependent variable: Cellular % Independent Variable: GDP Cellular %--5.1903692 + 2.2401829 GDP Sample size: 12 R (correlation coefficient)-0.89519511 R-sq = 0.80137429 Estimate of error standard deviation: 13.217362 GoP n hundreds of bellions of dollans Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-StatP-value Intercept -5.1903692 6.4584427 Slope 2.240 18290.35268218-#0106351 Analysis of variance table for regression model: SourceDF SS Model 17048.382 77048382740345949

Explanation / Answer

Using the regression output, the estimated slope value is 2.2402 with p-value is less than 0.0001. Hence, we can conclude that GDP has the significant effect on Cellular percent. So, for a unit increased in GDP increases the mean cellular percent by 2.2402 at 0.05 level of significance.

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