The Conch Café, located in Gulf Shores, Alabama, features casual lunches with a great view of the Gulf of Mexico. To accommodate the increase in business duringthe summer vacation season, Fuzzy Conch, the owner, hires a large number of servers as seasonal help. When he interviews a prospective server, he would like toprovide data on the amount a server can earn in tips. He believes that the amount of the bill and the number of diners are both related to the amount of the tip.He gathered the following sample information.
a. Develop a multiple regression equation with the amount of tips as the dependent vari-able and the amount of the bill and the number of diners as independentvariables. Write out the regression equation. How much does another diner add to the amount of the tips? Conduct a global test of hypothesisto determine if at least one of the independent variables is significant. What is your conclusion?
Customer Amount of Tip Bill Diners
1 $ 7.00 $ 48.97 5
2 $ 4.50 $ 28.23 4
3 $ 1.00 $ 10.65 1
4 $ 2.40 $ 19.82 3
5 $ 5.00 $ 28.62 3
6 $ 4.25 $ 24.83 2
7 $ 0.50 $ 6.24 1
8 $ 6.00 $ 49.20 4
9 $ 5.00 $ 43.26 3
10 $ 4.75 $ 31.36 4
11 $ 5.25 $ 32.87 4
12 $ 6.00 $ 34.99 3
13 $ 4.00 $ 33.91 4
14 $ 3.35 $ 23.06 2
15 $ 0.75 $ 4.65 1
16 $ 3.30 $ 23.59 2
17 $ 3.50 $ 22.30 2
18 $ 3.25 $ 32.00 2
19 $ 5.40 $ 50.02 4
20 $ 2.25 $ 17.60 3
21 $ 5.50 $ 44.47 4
22 $ 3.00 $ 20.27 2
23 $ 1.25 $ 19.53 2
24 $ 3.25 $ 27.03 3
25 $ 3.00 $ 21.28 2
26 $ 6.25 $ 43.38 4
27 $ 5.60 $ 28.12 4
28 $ 2.50 $ 26.25 2
29 $ 9.25 $ 56.81 5
30 $ 8.25 $ 50.65 5
Please show the way with excel data analysis tools as much as possible. Please show all a, b, c, d options with your interpretation The Conch Café, located in Gulf Shores, Alabama, features casual lunches with a great view of the Gulf of Mexico. To accommodate the increase in business during the summer vacation season, Fuzzy Conch, the owner, hires a large number of servers as seasonal help. When he interviews a prospective server, he would like to provide data...
A business statistics professor would like to develop a regression model to predict the final exam scores (y) for students based on their current GPAs (x1), the number of hours they studied for the exam (x2), and the number of times they were absent during the semester (x3). Score GPA Hours Absences 68 2.53 3.00 0 70 2.60 2.50 1 74 3.08 6.00 4 77 3.35 1.50 0 78 2.99 2.00 3 79 2.80 4.50 0 83 3.25 3.00 1...
answer all numbers and show work please
the next pictures are the lessons guide
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