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Example 1 (Restaurant Tips). The owner of a bistro called First Crush in Potsdam, New York, is interested in studying the tipping patterns of its patrons. He collected restaurant bills over a two-week period that he believes provide a good sample of his customers. The data from 157 bills are stored in Restaurant Tips and include the amount of the bill, size of the tip, percentage tip, number of customers in the group, whether or not a credit card was used, day of the week, and a coded identity of the server. We want to use the bill amount to predict the tip amount. A scatterplot of this relationship is shown below. 16 14- 12- 10 은 8 6- 4 2 0 .: 10 20 30 40 50 60 70 Bill (1) Describe the relationship between the bill amount and the tip amount at this restaurant. 0 (2) Estimate the correlation between these two variables.

Example 1 (Restaurant Tips). The owner of a bistro called First Crush in Potsdam, New York, is interested in studying the tipping patterns of its patrons. He collected restaurant bills over a two-week period that he believes provide a good sample of his customers. The data from 157 bills are stored in Restaurant Tips and include the amount of the bill, size of the tip, percentage tip, number of customers in the group, whether or not a credit card was used, day of the week, and a coded identity of the server. We want to use the bill amount to predict the tip amount. A scatterplot of this relationship is shown below. 16 14- 12- 10 은 8 6- 4 2 0 .: 10 20 30 40 50 60 70 Bill (1) Describe the relationship between the bill amount and the tip amount at this restaurant. 0 (2) Estimate the correlation between these two variables.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Example 1 (Restaurant Tips). The owner of a bistro called First Crush in Potsdam, New York, is interested in studying the tipping patterns of its patrons. He collected restaurant bills over a two-week period that he believes provide a good sample of his customers. The data from 157 bills are stored in Restaurant Tips and include the amount of the bill, size of the tip, percentage tip, number of customers in the group, whether or not a credit card was used, day of the week, and a coded identity of the server. We want to use the bill amount to predict the tip amount. A scatterplot of this relationship is shown below. 16 14- 12- 10 은 8 6- 4 2 0 10 20 30 40 50 60 70 Bill (1) Describe the relationship between the bill amount and the tip amount at this restaurant. 0 (2) Estimate the correlation between these two variables. (3) Draw a line on the scatterplot that seems to fit the data well.
Transcribed Image Text:Example 1 (Restaurant Tips). The owner of a bistro called First Crush in Potsdam, New York, is interested in studying the tipping patterns of its patrons. He collected restaurant bills over a two-week period that he believes provide a good sample of his customers. The data from 157 bills are stored in Restaurant Tips and include the amount of the bill, size of the tip, percentage tip, number of customers in the group, whether or not a credit card was used, day of the week, and a coded identity of the server. We want to use the bill amount to predict the tip amount. A scatterplot of this relationship is shown below. 16 14- 12- 10 은 8 6- 4 2 0 10 20 30 40 50 60 70 Bill (1) Describe the relationship between the bill amount and the tip amount at this restaurant. 0 (2) Estimate the correlation between these two variables. (3) Draw a line on the scatterplot that seems to fit the data well.
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