Question 17A 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. Time15152712525262422Money4351815328100776573 Find the correlation coefficient: r=r= Round to 2 decimal places.The null and alternative hypotheses for correlation are:H0:H0: Correct == 0H1:H1: Correct ≠≠ 0 The p-value is: (Round to four decimal places)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.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 a customer who spends more time at the store will spend more money than a customer who spends less time at the store.Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study. r2r2 = (Round to two decimal places) There is a 80% 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.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 80%.80% 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, 80% of all of those customers will spend the predicted amount of money at the store. Interpret r2r2 : The equation of the linear regression line is: ˆyy^ = + xx (Please show your answers to two decimal places) Use the model to predict the amount of money spent by a customer who spends 18 minutes at the store.Dollars spent = (Please round your answer to the nearest whole number.) Interpret r2r2 : There is a 80% 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.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 80%.80% 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, 80% of all of those customers will spend the predicted amount of money at the store.CorrectThe equation of the linear regression line is: ˆyy^ = + xx (Please show your answers to two decimal places) Use the model to predict the amount of money spent by a customer who spends 18 minutes at the store.Dollars spent = (Please round your answer to the nearest whole number.) Question 18A study was done to look at the relationship between number of movies people watch at the theater each year and the number of books that they read each year. The results of the survey are shown below. Movies819944597540Books612451110537978 Find the correlation coefficient: r=r= Round to 2 decimal places.The null and alternative hypotheses for correlation are:H0:H0: == 0H1:H1: ≠≠ 0 The p-value is: Round to 4 decimal places. r2r2 = (Round to two decimal places)The equation of the linear regression line is: ˆyy^ = + xx (Please show your answers to two decimal places) Use the model to predict the number of books read per year for someone who watches 3 movies per year.Books per year = (Please round your answer to the nearest whole number.)

Name: Question 17A grocery store manager did a study to look at the relation
Uploaded: 2022-11-23T13:49:28.000Z
Channel: Bartleby
Description: Question 17A 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. Time1515271252

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Question 17A 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. Time15152712525262422Money4351815328100776573 Find the correlation coefficient:  r=r=    Round to 2 decimal places.The null and alternative hypotheses for correlation are:H0:H0:     Correct == 0H1:H1:     Correct  ≠≠ 0    The p-value is:    (Round to four decimal places)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.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 a customer who spends more time at the store will spend more money than a customer who spends less time at the store.Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study. r2r2 =  (Round to two decimal places)  There is a 80% 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.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 80%.80% 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, 80% of all of those customers will spend the predicted amount of money at the store. Interpret r2r2 :  The equation of the linear regression line is:   ˆyy^ =  + xx   (Please show your answers to two decimal places)  Use the model to predict the amount of money spent by a customer who spends 18 minutes at the store.Dollars spent =  (Please round your answer to the nearest whole number.)   Interpret r2r2 :  There is a 80% 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.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 80%.80% 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, 80% of all of those customers will spend the predicted amount of money at the store.CorrectThe equation of the linear regression line is:   ˆyy^ =  + xx   (Please show your answers to two decimal places)  Use the model to predict the amount of money spent by a customer who spends 18 minutes at the store.Dollars spent =  (Please round your answer to the nearest whole number.) Question 18A study was done to look at the relationship between number of movies people watch at the theater each year and the number of books that they read each year. The results of the survey are shown below. Movies819944597540Books612451110537978 Find the correlation coefficient:  r=r=    Round to 2 decimal places.The null and alternative hypotheses for correlation are:H0:H0:      == 0H1:H1:       ≠≠ 0    The p-value is:      Round to 4 decimal places. r2r2 =  (Round to two decimal places)The equation of the linear regression line is:   ˆyy^ =   + xx    (Please show your answers to two decimal places)  Use the model to predict the number of books read per year for someone who watches 3 movies per year.Books per year =  (Please round your answer to the nearest whole number.)

Accepted Answer

( 17 )
For the given data

Time	15	15	27	12	5	25	26	24	22
Money	43	51	81	53	28	100	77	65	73

Movies	8	1	9	9	4	4	5	9	7	5	4	0
Books	6	12	4	5	11	10	5	3	7	9	7	8