Question: Hi, Please help me in first making predictions based on the graph and then answering the questions below. I'm really confused. Thank you so much!!
Hi, Please help me in first making predictions based on the graph and then answering the questions below. I'm really confused. Thank you so much!!

in 6 7 100% . $ 8 0 09 123- Length of Sery Is Destination Distance Round trip Airfare Lodging Coats Days) that allows you teal Cort (Camion to get io close to exceed $20907 52000 ad periible Berlin, Germany 1.628.00 209.80 1835.20 3943.4 Barcelona, Spain 158.80 270.80 Predictions 3809.53 Paris, France 614.00 784.D0 Directions: Predict the strength (weak, moderate, strong) and direction (positive, negative) for the 2603.94 Nice, France $37.00 following variables. Justify your reasoning for each prediction. 3956.63 Toronto, Canada 320.00 . Distance to Destination vs. Round Trip Airfare/Total Gas Price 344.51 . Length of Stay vs. Total Cost Montreal, Canada 313.15 Cost of Lodging vs. Round Trip Airfare/Total Gas Price Florence, Rely 1.177.06 15400 Distance to Destination vs. Length of Stay 4135.98 Alaccio, Corsica 4090.65 London, England 942.06 4090.85 Pittsburg, Pennsylvania 758.DO 331.26 Sheet - Q Lodging Costs vs. Round trip Airfare Round trip Airfare vs. Distance Total Cost vs. Length of Stay Round trip Airfare = 0.012*x + 962 R' - 0.004 Total Cost (Cannot exceed $2000) - 7 58x + 1436 R" - 0:003 2.000.00 2.000.0 258.00 1500.00 1,500 to ceed $2000 . . 590 00 Lodging Cost ,000.00 1000.GO Round trip Airfare 350.00 at Cost (Cannot er 500.0 0.00 40 08 800-80 2.200 80 0.00 1000 2000 3000 1900 5.00 6 00 7.00 10 00 11 00 Distance Length of Stay (in Days) that allows you to get as close to $2000 as possible 1. Identify the actual line of best fit and correlation coefficient for the data interp information in the context of the relation hip between the two variables. Just 1. Identify the actual line of best fit and correlation coefficient for the data. Interpret this information in the context of the relationship between the two variables. Justify your response. 1. Identify the actual line of best fit and correlation coefficient for the data. Interpret this 2. How does your pre 2. How does your prediction compare to the actual correlation between the two variables? information in the context of the relationship between the two variables. Justify your response. How does your prediction compare to the actual correlation between the two variables? Suppose the total cost of your lodging is $1200, what would you expect the ound trip 3. Suppose you were considering a destinat ion that is 300 miles away, what would you expect the Suppose you were staying in a location for 6 days, what would you expect the total cost of your airfare/total gas price to be? round trip airfare to be? lodging and airfare to be
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