Course Catalog - Middlese b Answered: It has been det M MyOpenMath sment/showtest.php?action3Dskip&to=15 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 (un dollars) they spend. The results of the survey are shown below. /1) /1] /2] /1] /1) /1) /1) Time 10 24 20 24 81 21 Money 41 99 56 71 16 39 a. Find the correlation coefficient: r = b. The null and alternative hypotheses for correlation are: Ho: ? v Н: Round to 2 decimal places. /1) E/3) 1/1] 1/1] 0/1] [0/1] (4/5) (0/5) (0/7) (0/7) H1: ? + 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. O 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. OThere 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. /40 O 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. ion O 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. (Round to two decimal places) %3D e. Interpret r: O There is a 85% 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. O 85% 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, 85% of all of those customers will spend the predicted amount of money at the store. O 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 85%. f. The equation of the linear regression line is: z (Please show your answers to two decimal places) g. Use the model to predict the amount of money spent by a customer who spends 10 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: O The slope has no practical meaning since you cannot predict what any individual customer will spend. O As x goes up, y goes up. OFor every additional minute customers spend at the store, they tend to spend on averge $3.17 more money at the store. i. Interpret the y-intercept in the context of the question: OThe average amount of money spent is predicted to be $735 OThe best prediction for a customer who doesn't spend any time at the store is that the customer will spend $7.35. Oifa customer spends no time at the store, then that customer will spend $7.35. OThe y-intercept has no practical meaning for this study.

Course Catalog - Middlese b Answered: It has been det M MyOpenMath sment/showtest.php?action3Dskip&to=15 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 (un dollars) they spend. The results of the survey are shown below. /1) /1] /2] /1] /1) /1) /1) Time 10 24 20 24 81 21 Money 41 99 56 71 16 39 a. Find the correlation coefficient: r = b. The null and alternative hypotheses for correlation are: Ho: ? v Н: Round to 2 decimal places. /1) E/3) 1/1] 1/1] 0/1] [0/1] (4/5) (0/5) (0/7) (0/7) H1: ? + 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. O 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. OThere 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. /40 O 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. ion O 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. (Round to two decimal places) %3D e. Interpret r: O There is a 85% 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. O 85% 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, 85% of all of those customers will spend the predicted amount of money at the store. O 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 85%. f. The equation of the linear regression line is: z (Please show your answers to two decimal places) g. Use the model to predict the amount of money spent by a customer who spends 10 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: O The slope has no practical meaning since you cannot predict what any individual customer will spend. O As x goes up, y goes up. OFor every additional minute customers spend at the store, they tend to spend on averge $3.17 more money at the store. i. Interpret the y-intercept in the context of the question: OThe average amount of money spent is predicted to be $735 OThe best prediction for a customer who doesn't spend any time at the store is that the customer will spend $7.35. Oifa customer spends no time at the store, then that customer will spend $7.35. OThe y-intercept has no practical meaning for this study.

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter7: Analytic Trigonometry

Section7.6: The Inverse Trigonometric Functions

Problem 94E

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