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We are looking at the gas prices at two different gas stations. Let X be the gas price at the one gas station, and Y be the gas price at the other gas station at a random day. The registration of X and Y at 10 random days gave the data: Tod 1 2 3 4 7 8. 9. 10 ay i Xi 14.89 14.39 13.20 15.35 15.10 14.39 14.96 15.15 14.69 13.57 Yi 14.99 14.39 13.65 15.25 14.99 14.09 14.66 15.25 14.36 13.57 It it given at E-1 Xi = E (yi – 9)² = 3.414 og E (x; – 7)(yi – 9) = 3.670. 145.69, E1 Yi = 145.20, E1(x; – T)² = 4.436 vi=1 a) Calculate the correlation between the gas prices and comment the results. b) Calculate a estimated linear regression for the coherence between the gas prices at those two gas stations. c) Make a scatter plot for the data and draw the linear regression into the scatter plot.

We are looking at the gas prices at two different gas stations. Let X be the gas price at the one gas station, and Y be the gas price at the other gas station at a random day. The registration of X and Y at 10 random days gave the data: Tod 1 2 3 4 7 8. 9. 10 ay i Xi 14.89 14.39 13.20 15.35 15.10 14.39 14.96 15.15 14.69 13.57 Yi 14.99 14.39 13.65 15.25 14.99 14.09 14.66 15.25 14.36 13.57 It it given at E-1 Xi = E (yi – 9)² = 3.414 og E (x; – 7)(yi – 9) = 3.670. 145.69, E1 Yi = 145.20, E1(x; – T)² = 4.436 vi=1 a) Calculate the correlation between the gas prices and comment the results. b) Calculate a estimated linear regression for the coherence between the gas prices at those two gas stations. c) Make a scatter plot for the data and draw the linear regression into the scatter plot.

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section: Chapter Questions
Problem 8CR
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We are looking at the gas prices at two different gas stations. Let X be the gas price at the one gas station, and Y be the gas price at the other gas station at a random day. The registration of X and Y at 10 random days gave the data: Tod 1 5 6. 7 8. 10 ay i Xi 14.89 14.39 13.20 15.35 15.10 14.39 14.96 15.15 14.69 13.57 yi 14.99 14.39 13.65 15.25 14.99 14.09 14.66 15.25 14.36 13.57 It it given at E1 t; = 145.69, E1 Yi = 145.20, E1 (x; – T)² = 4.436 E1 (yi – 9)² = 3.414 og E (x; –- x)(y; – 9) = 3.670. |3D a) Calculate the correlation between the gas prices and comment the results. b) Calculate a estimated linear regression for the coherence between the gas prices at those two gas stations. c) Make a scatter plot for the data and draw the linear regression into the scatter plot. 3.
Transcribed Image Text:We are looking at the gas prices at two different gas stations. Let X be the gas price at the one gas station, and Y be the gas price at the other gas station at a random day. The registration of X and Y at 10 random days gave the data: Tod 1 5 6. 7 8. 10 ay i Xi 14.89 14.39 13.20 15.35 15.10 14.39 14.96 15.15 14.69 13.57 yi 14.99 14.39 13.65 15.25 14.99 14.09 14.66 15.25 14.36 13.57 It it given at E1 t; = 145.69, E1 Yi = 145.20, E1 (x; – T)² = 4.436 E1 (yi – 9)² = 3.414 og E (x; –- x)(y; – 9) = 3.670. |3D a) Calculate the correlation between the gas prices and comment the results. b) Calculate a estimated linear regression for the coherence between the gas prices at those two gas stations. c) Make a scatter plot for the data and draw the linear regression into the scatter plot. 3.
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