I have attached the link to access for the data sets on the comment. Thank you

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w Question 15 - E 2/8 pts '0 2 23 9 G Details Score on last try: 2 of 8 pts. See Details for more. Next question Get a similar question You can retry this question below While investigating how a car's odometer reading (mileage) affects its sale price, a researcher collects data forthe sale price of 33 used (preowned) 2020 Chevrolet Malibus of the same trim level (package). Mileage is in thousands ofkm and Sale Price is in thousands of dollars. Click here to reveal the data Download CSV file Use software to generate a linear regression output for the data. Report numeric answers accurate to at least 4 decimal places or copy output results and paste directly into the boxes. 1. The independent variable is Mileage v \"I. 2, The slope of the regression equation for the linear relationship 2 922 This indicates that the relationship is negative v I I . Thus, as Mileage increases, Sale Price decreases v I I on average, 1. The independent variable is Mileage v ~1- . 2, The slope of the regression equation for the linear relationship : 922 This indicates that the relationship is negative v J I ' Thus, as Mileage increases, Saie Price decreases v I I on average. 3. The yeintercept : -. Considering these are used cars, does the y intercept have a practical meaning for these data? No, Itdoes not, v V I , Why? Because car mileage can't be zero v " . 4, The correlation coefficient = 327 x This indicates a weak v X linear relationship. 5, The percentage of the variation in Sale Price that is explained by Mileage (to 2 decimal places) is 53 70 x % . 6. Use the unrounded results from regression output to predict the sale price of one of these cars with a mileage of 42,220 km. Report your answerto the nearest dollar. Do not round intermediate results. Predicted Sale Price : 3 . Question Help: El Video 8 Message instructor M Question 4 - E4 225/9 pts '0 2 Z 9 O Details Score on last try: 2.25 of 9 pts. See Details for more, Next question Get a similar question You can retry this question below A retail store has recently started paying attention to customer analytics. The store collected data from a sample of 127 walkin customers about registration in the store's points program, purchase level, and payment method. Click this button to reveal the data Download CSV file Download the .csv file or copy/paste the data into Excel or Google Sheets and use the Pivot Table function to generate the tables needed to answer the following questions: 1. How many purchases in the sample are medium? 2. How many customers paid with credit? 3. How many unregistered customers' purchases are small? 2. How many customers paid with credit? 3. How many unregistered customers\" purchases are small? 4. How many registered customers paid with mobile?' 6 4. Round percentages to M decimal places. 5. What percent of all customers are registered and paid with mobile? 4.72 ix I % 6. What percent of all customers are unregistered and made a medium purchase? 62 X% 7. What percent of unregistered customers' purchases are smaii? % 8. What percent of registered customers paid with mobile? m % Question Help: El Video 8 Message instructor 2