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begin{tabular}{|c|c|c|} hline Customers & Temperature & Weekend hline 419 & 73 & 0 hline 402 & 75 & 0 hline 549 &

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\begin{tabular}{|c|c|c|} \hline Customers & Temperature & Weekend \\ \hline 419 & 73 & 0 \\ \hline 402 & 75 & 0 \\ \hline 549 & 82 & 1 \\ \hline 337 & 64 & 0 \\ \hline 455 & 88 & 0 \\ \hline 671 & 83 & 0 \\ \hline 689 & 75 & 0 \\ \hline 589 & 75 & 1 \\ \hline 421 & 64 & 0 \\ \hline 416 & 66 & 1 \\ \hline 346 & 62 & 0 \\ \hline 376 & 60 & 1 \\ \hline 745 & 99 & 0 \\ \hline 712 & 79 & 1 \\ \hline 531 & 86 & 0 \\ \hline 464 & 77 & 1 \\ \hline 404 & 73 & 0 \\ \hline 431 & 75 & 0 \\ \hline 467 & 66 & 1 \\ \hline 722 & 88 & 1 \\ \hline 704 & 78 & 0 \\ \hline 568 & 81 & 0 \\ \hline 578 & 89 & 1 \\ \hline 546 & 97 & 1 \\ \hline 405 & 85 & 1 \\ \hline 419 & 76 & 0 \\ \hline 717 & 80 & 0 \\ \hline 722 & 76 & 1 \\ \hline 481 & 84 & 0 \\ \hline 420 & 67 & 1 \\ \hline \end{tabular} A manager at an ice cream store is trying to determine how many customers to expect on any given day, Overall business has been relatively steady over the past several years, but the customer count scems to have ups and downs. The accompanying data fle shows the number of customers, the high temperature (Temperature in degrees Fahrenhelt, and whether the day fell on a weekend (Weekend equals 1 if weekend, 0 otherwise) over the past 30 days. Click here for the Excel Data File a. Estimate: Custoners =0+p^1 Tenperature +2 weekend +c. Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places. b. How many customers should the manager expect on a Sunday with a forecasted high temperature of 120 "? Note: Round final answers to 2 decimal places. c-1. Interpret the estimated coefficient for Weekend. The predicted number of customers is approximately 75 less on weekends than on a week day, holding temperature the same. The predicted number of customers is approximately 21 more on weekends than on a week day, holding temperature the same. The predicted number of customers is approximately 75 more on weekends than on a week day, holding temperature the same. The predicted number of customers is approximatelv 21 less on woekends than on a week dav, holding temoerature the same. c-2. Is the variable Weekend significant at the 5% level? Yes, since we do not reject the relevant H0. Yes, since we reject the relevant HO. No, since we reject the relevant H0. No, since we do not reject the relevant HO. c-3. How might this affect the store's staffing needs? The manager may want to plan on staffing the store with more employees on the weekends The manager does not need to adjust staffing based on the day of the week. The manager may want to plan on staffing the store with less employees during weekdays. The manager need to adjust staffing based on the day of the week

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