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%.88% of all customers will spend the average amount of money at the store.f. The equation of the linear regression line is:ý =(Please show your answers to two decimal places)g. Use the model to predict the amount of money spent by a customer who spends 19 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:As x goes up, y goes up.The slope has no practical meaning since you cannot predict what any individual customer willspend.For every additional minute customers spend at the store, they tend to spend on averge $3.26more money at the store.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 $15.73.The y-intercept has no practical meaning for this study.The best prediction for a customer who doesn't spend any time at the store is that thecustomer will spend $15.73.O The average amount of money spent is predicted to be $15.73. 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.Time 28 7 30 22Money 115 45 1178 16 125784 49 44d. ²a. Find the correlation coefficient: r =b. The null and alternative hypotheses for correlation are:Ho: ? ✓ = 0H₁: ?0The p-value is:Round to 2 decimal places.(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.O There is statistically significant 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 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.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.O 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.(Round to two decimal places)

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