Do students with higher college grade point averages (GPAs) earn more than those graduates with lower GPAs?† Consider the following hypothetical college GPA and salary data (10 years after graduation). GPA Salary ($) 2.22 72,000 2.29 48,000 2.57 72,000 2.59 64,000 2.77 86,000 2.85 96,000 3.12 133,000 3.35 130,000 3.66 157,000 3.68 162,000 What does the scatter diagram indicate about the relationship between the two variables? The scatter diagram indicates a negative linear relationship between GPA and salary. The scatter diagram indicates no apparent relationship between GPA and salary.     The scatter diagram indicates a nonlinear relationship between GPA and salary. The scatter diagram indicates a positive linear relationship between GPA and salary. (b) Use these data to develop an estimated regression equation that can be used to predict annual salary 10 years after graduation given college GPA. (Let x = GPA, and let y = salary (in $). Round your numerical values to the nearest integer.) ŷ =        (c) At the 0.05 level of significance, does there appear to be a significant statistical relationship between the two variables? (Use the F test.) State the null and alternative hypotheses. H0: ?1 ≠ 0 Ha: ?1 = 0   H0: ?1 = 0 Ha: ?1 ≠ 0       H0: ?0 = 0 Ha: ?0 ≠ 0   H0: ?1 ≥ 0 Ha: ?1 < 0   H0: ?0 ≠ 0 Ha: ?0 = 0 Find the value of the test statistic. (Round your answer to two decimal places.)   Find the p-value. (Round your answer to three decimal places.) p-value =  State your conclusion. Reject H0. There is a significant statistical relationship between GPA and salary. Reject H0. There is not a significant statistical relationship between GPA and salary.      Do not reject H0. There is not a significant statistical relationship between GPA and salary. Do not reject H0. There is a significant statistical relationship between GPA and salary.

Use this data and build a model of overall satisfaction. If a customer reports satisfaction ratings as follows, what is their overall satisfaction rating likely to be?  (Keep one decimal place) Comfort = 84.5 Amenities = 86.7 In-House Dining = 78.9   Hotel Overall Comfort Amenities In-House Dining Cabo de Gata Vista 86.0 85.0 72.2 89.2 Cap d’Agde Resort 89.8 89.8 92.5 88.8 Club Lapu-Lapu 87.1 87.0 74.9 89.6 Hacienda Punta Barco 86.1 85.8 77.3 90.8 Hotel Iguana  89.1 91.2 81.9 88.5 Mokihana Hōkele 90.2 90.5 82.0 98.7 Muri Beach Odyssey 94.3 95.5 90.8 97.7 Pattaya Resort 92.9 96.8 84.1 96.6 Penang Resort and Spa 90.4 91.4 87.8 91.1 Rendezvous Kolocep 86.0 85.5 76.4 91.4 Rotorua Inn 87.1 89.0 91.6 73.5 Sainte-Maxime Quarters 88.6 89.1 78.2 91.2 Sanya Deluxe 85.1 84.0 77.3 91.8 Sidi Abdel Rahman Palace 89.0 90.1 93.0 89.6 Sojourner’s Respite 92.8 90.3 100.0 88.4 Spa Carribe 91.2 93.0 94.7 97.0 Spirit of Mykonos 89.3 91.4 85.8 90.7 Terracina Retreat…

An article gave the following data on median worker pay (in thousands of dollars) and the 1-year percent change in stock price for the 13 highest paying companies in the United States. Percent Change in Stock Price Company Company 1 Company 2 Company 3 Company 4 Company 5 Company 6 Company 7 Company 8 Company 9 Company 10 Company 11 Company 12 Company 13 80 60 40 20 Median Worker Pay - 20 - 40 USE SALT 134.7 132.2 125.0 122.8 122.5 121.2 121.2 119.0 118.0 118.0 117.6 117.4 (a) Construct a scatterplot for these data. Percent Change in Stock Price 115.1 115 120 125 130 135 140 21.5 92.4 34.0 52.0 41.8 2.7 5.0 30.2 8.1 37.5 15.7 21.8 -44.8 Median Worker Pay Percent Change in Stock Price 80 60 40 20 - 20 -40 115 120 125 130 135 140 (b) Calculate the value of the correlation coefficient. (Round your answer to four decimal places.) Median Worker Pay Interpret the correlation coefficient. O There is a moderate, positive association between the percent change in stock price and median worker…

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