Please assist second part? Thank you! d. =(Round to two decimal places)e. Interpret p2 :O There is a 88% chance that the regression line will be a good predictor for the amount ofmoney spent at the store based on the time spent at the store.O Given any group that spends a fixed amount of time at the store, 88% of all of those customerswill 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 youonly look at customers who spend a fixed amount of time at the store, this variation onaverage is reduced by 88%.O 88% of all customers will spend the average amount of money at the store.f. The equation of the linear regression line is:ŷ =I (Please show your answers to two decimal places)g. Use the model to predict the amount of money spent by a customer who spends 16 minutes at thestore.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 willspend.O For every additional minute customers spend at the store, they tend to spend on averge $3.24more money at the store.O As x goes up, y goes up.i. Interpret the y-intercept in the context of the question:O f a customer spends no time at the store, then that customer will spend $13.5.O The average amount of money spent is predicted to be $13.5.The best prediction for a customer who doesn't spend any time at the store is that thecustomer will spend $13.5.O The y-intercept has no practical meaning for this study. 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 surveyare shown below.TimeMoney61911153015284462366110770116a. Find the correlation coefficient: T=Round to 2 decimal places.b. The null and alternative hypotheses for correlation are:Ho: ?vH: ?v + 0= 0The 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 contextof the study.There is statistically insignificant evidence to conclude that a customer who spends more timeat 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 theamount of time customers spend at the store and the amount of money that they spend at thestore. Thus, the regression line is useful.There is statistically significant evidence to conclude that a customer who spends more time atthe store will spend more money than a customer who spends less time at the store.There is statistically insignificant evidence to conclude that there is a correlation between theamount of time customers spend at the store and the amount of money that they spend at thestore. Thus, the use of the regression line is not appropriate.d. p? =e. Interpret 72 :(Round to two decimal places)O There is a 88% chance that the regression line will be a good predictor for the amount ofmoney spent at the store based on the time spent at the store.O Given any group that spends a fixed amount of time at the store, 88% of all of those customerswill 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 youonly look at customers who spend a fixed amount of time at the store, this variation onaverage is reduced by 88%.O 88% of all customers will spend the average amount of money at the store.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 16 minutes at thestore.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 willspend.O For every additional minute customers spend at the store, they tend to spend on averge $3.24more money at the store.O As x goes up, y goes up.i. Interpret the y-intercept in the context of the question:Olf a customer spends no time at the store, then that customer will spend $13.5.O The average amount of money spent is predicted to be $13.5.O The best prediction for a customer who doesn't spend any time at the store is that thecustomer will spend $13.5.O The y-intercept has no practical meaning for this study.

Name: Please assist second part? Thank you! d. =(Round to two decimal places
Uploaded: 2024-03-20T07:06:27.000Z
Channel: Bartleby
Description: Please assist second part? Thank you! d. =(Round to two decimal places)e. Interpret p2 :O There is a 88% chance that the regression line will be a good predictor for the amount ofmoney spent at the store based on the time spent at the store.O Given a