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A grocery store manager did a study to look at the relationship between the am customers spend in the store and the amount of money (in dollars) they spend. The results of the survey are shown below. Time 9. 20 25 14 11 7 15 27 Money 37 68 92 74 64 53 63 118 a. Find the correlation coefficient: r = Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: Но: ? 8 = 0 H1: ? 0 # 0 The p-value is: (Round to four decimal places) c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. There is statistically insignificant evidence to conclude that a customer who spends more time at the store will spend more money than a customer who spends less time at the store. There is statistically significant evidence to conclude that a customer who spends more time at the store will spend more money than a customer who spends less time at the store. There is statistically significant evidence to conclude that there is a correlation between the amount of time customers spend at the store and the amount of money that they spend at the store. Thus, the regression line is useful. There is statistically insignificant evidence to conclude that there is a correlation between the amount of time customers spend at the store and the amount of money that they spend at the store. Thus, the use of the regression line is not appropriate. d. r2 = (Round to two decimal places) e. Interpret r : 79% of all customers will spend the average amount of money at the store. Given any group that spends a fixed amount of time at the store, 79% of all of those customers will spend the predicted amount of money at the store. There is a large variation in the amount of money that customers spend at the store, but if you only look at customers who spend a fixed amount of time at the store, this variation on average is reduced by 79%. There is a 79% chance that the regression line will be a good predictor for the amount of money spent at the store based on the time spent at the store. f. The equation of the linear regression line is: ŷ = a (Please show your answers to two decimal places) g. Use the model to predict the amount of money spent by a customer who spends 14 minutes at the store. Dollars spent (Please round your answer to whole number

A grocery store manager did a study to look at the relationship between the am customers spend in the store and the amount of money (in dollars) they spend. The results of the survey are shown below. Time 9. 20 25 14 11 7 15 27 Money 37 68 92 74 64 53 63 118 a. Find the correlation coefficient: r = Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: Но: ? 8 = 0 H1: ? 0 # 0 The p-value is: (Round to four decimal places) c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. There is statistically insignificant evidence to conclude that a customer who spends more time at the store will spend more money than a customer who spends less time at the store. There is statistically significant evidence to conclude that a customer who spends more time at the store will spend more money than a customer who spends less time at the store. There is statistically significant evidence to conclude that there is a correlation between the amount of time customers spend at the store and the amount of money that they spend at the store. Thus, the regression line is useful. There is statistically insignificant evidence to conclude that there is a correlation between the amount of time customers spend at the store and the amount of money that they spend at the store. Thus, the use of the regression line is not appropriate. d. r2 = (Round to two decimal places) e. Interpret r : 79% of all customers will spend the average amount of money at the store. Given any group that spends a fixed amount of time at the store, 79% of all of those customers will spend the predicted amount of money at the store. There is a large variation in the amount of money that customers spend at the store, but if you only look at customers who spend a fixed amount of time at the store, this variation on average is reduced by 79%. There is a 79% chance that the regression line will be a good predictor for the amount of money spent at the store based on the time spent at the store. f. The equation of the linear regression line is: ŷ = a (Please show your answers to two decimal places) g. Use the model to predict the amount of money spent by a customer who spends 14 minutes at the store. Dollars spent (Please round your answer to whole number

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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A grocery store manager did a study to look at the relationship between the amount of time (in minutes) customers spend in the store and the amount of money (in dollars) they spend. The results of the survey are shown below. Time 9. 20 25 14 11 7 15 27 Money 37 68 92 74 64 53 63 118 a. Find the correlation coefficient: r = Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: Ho: ? 0 H1: ? 0 + 0 The p-value is: (Round to four decimal places) c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. There is statistically insignificant evidence to conclude that a customer who spends more time at the store will spend more money than a customer who spends less time at the store. There is statistically significant evidence to conclude that a customer who spends more time at the store will spend more money than a customer who spends less time at the store. There is statistically significant evidence to conclude that there is a correlation between the amount of time customers spend at the store and the amount of money that they spend at the store. Thus, the regression line is useful. There is statistically insignificant evidence to conclude that there is a correlation between the amount of time customers spend at the store and the amount of money that they spend at the store. Thus, the use of the regression line is not appropriate. d. p? = (Round to two decimal places) e. Interpret r2 79% of all customers will spend the average amount of money at the store. Given any group that spends a fixed amount of time at the store, 79% of all of those customers will spend the predicted amount of money at the store. There is a large variation in the amount of money that customers spend at the store, but if you only look at customers who spend a fixed amount of time at the store, this variation on average is reduced by 79%. There is a 79% chance that the regression line will be a good predictor for the amount of money spent at the store based on the time spent at the store. f. The equation of the linear regression line is: x (Please show your answers to two decimal places) g. Use the model to predict the amount of money spent by a customer who spends 14 minutes at the store. Dollars spent (Please round your answer to the nearest whole number.)
Transcribed Image Text:A grocery store manager did a study to look at the relationship between the amount of time (in minutes) customers spend in the store and the amount of money (in dollars) they spend. The results of the survey are shown below. Time 9. 20 25 14 11 7 15 27 Money 37 68 92 74 64 53 63 118 a. Find the correlation coefficient: r = Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: Ho: ? 0 H1: ? 0 + 0 The p-value is: (Round to four decimal places) c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. There is statistically insignificant evidence to conclude that a customer who spends more time at the store will spend more money than a customer who spends less time at the store. There is statistically significant evidence to conclude that a customer who spends more time at the store will spend more money than a customer who spends less time at the store. There is statistically significant evidence to conclude that there is a correlation between the amount of time customers spend at the store and the amount of money that they spend at the store. Thus, the regression line is useful. There is statistically insignificant evidence to conclude that there is a correlation between the amount of time customers spend at the store and the amount of money that they spend at the store. Thus, the use of the regression line is not appropriate. d. p? = (Round to two decimal places) e. Interpret r2 79% of all customers will spend the average amount of money at the store. Given any group that spends a fixed amount of time at the store, 79% of all of those customers will spend the predicted amount of money at the store. There is a large variation in the amount of money that customers spend at the store, but if you only look at customers who spend a fixed amount of time at the store, this variation on average is reduced by 79%. There is a 79% chance that the regression line will be a good predictor for the amount of money spent at the store based on the time spent at the store. f. The equation of the linear regression line is: x (Please show your answers to two decimal places) g. Use the model to predict the amount of money spent by a customer who spends 14 minutes at the store. Dollars spent (Please round your answer to the nearest whole number.)
g. Use the model to predict the amount of money spent by a customer who spends 14 minutes at the store. Dollars spent = (Please round your answer to the nearest whole number.) h. Interpret the slope of the regression line in the context of the question: As x goes up, y goes up. O For every additional minute customers spend at the store, they tend to spend on averge $2.99 more money at the store. The slope has no practical meaning since you cannot predict what any individual customer will spend. i. Interpret the y-intercept in the context of the question: The best prediction for a customer who doesn't spend any time at the store is that the customer will spend $23.25. O The y-intercept has no practical meaning for this study. O The average amount of money spent is predicted to be $23.25. If a customer spends no time at the store, then that customer will spend $23.25.
Transcribed Image Text:g. Use the model to predict the amount of money spent by a customer who spends 14 minutes at the store. Dollars spent = (Please round your answer to the nearest whole number.) h. Interpret the slope of the regression line in the context of the question: As x goes up, y goes up. O For every additional minute customers spend at the store, they tend to spend on averge $2.99 more money at the store. The slope has no practical meaning since you cannot predict what any individual customer will spend. i. Interpret the y-intercept in the context of the question: The best prediction for a customer who doesn't spend any time at the store is that the customer will spend $23.25. O The y-intercept has no practical meaning for this study. O The average amount of money spent is predicted to be $23.25. If a customer spends no time at the store, then that customer will spend $23.25.
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