A sample of restaurants from an EU country has been observed. Build a regression model, where the predicotors are average monthly salary of waiters, average price of a lunch and seating capacity. The dependent variable is the yearly revenue of the restaurants.

a. State the multiple regression equation.

b. Is the parameter of average monthly salary of waiters significantly different from zero? Justify your answer.

c. Interpret the meaning of the slope that belongs to the predictor: average price of a lunch.

d. Compute the relative standard error of the estimate and interpret its meaning.

e. Give interval estimation for the slope that belongs to the predictor: salary of waiters, using 92% confidence level.

please use Excel.

need clear answers for interpretations.

#	Ranking (number of stars)	Settlement type of the restaurant	Capital dummy (1-capital city)	Kitchen staff (persons)	Average monthly salary of waiters (EUR)	Average price of a lunch (EUR)	Seating capacity (seats)	Yearly revenue (thousand EUR)
5	***	Capital	1	7	2433	22.8	242	15102
7	**	Capital	1	8	1364	14.6	86	2520
12	*****	Capital	1	2	1222	14.6	35	692
16	***	Capital	1	8	1612	24.6	92	3025
17	**	Capital	1	4	2099	14.5	240	6293
18	*****	Capital	1	8	1607	20.9	104	5231
19	*****	Capital	1	2	1350	13.7	61	1230
20	*****	Capital	1	8	1526	14.5	86	2675
21	****	Capital	1	2	1311	9.6	21	300
22	***	Capital	1	2	953	14.5	22	652
23	****	Capital	1	11	1545	13.4	179	3893
26	**	Capital	1	16	1991	47.3	242	6513
29	*****	Capital	1	7	1820	22.9	105	7145
31	****	Capital	1	8	1395	12.4	179	840
33	****	Capital	1	3	1363	13.4	38	552
38	***	Capital	1	6	1446	14.2	156	3402
43	****	Capital	1	3	1479	12.3	84	3405
44	***	Capital	1	10	2409	49.2	178	15203
46	****	Capital	1	5	2050	44.8	153	13198
48	***	Capital	1	13	1834	44.3	246	10909
50	****	Capital	1	8	1397	26.0	67	4069
51	****	Capital	1	3	1176	13.0	56	920
52	****	Capital	1	5	1604	22.8	109	3334
54	***	Capital	1	5	1652	20.3	101	1901
56	****	Capital	1	2	1201	13.7	38	720
57	*****	Capital	1	2	1501	13.8	43	1312
61	**	Capital	1	9	1531	14.6	49	1370
63	****	Capital	1	8	1255	15.6	119	1567
66	****	Capital	1	12	2539	48.2	187	22949
67	***	Capital	1	9	1701	15.7	232	5964
68	***	Capital	1	6	1366	23.1	109	4550
70	***	Capital	1	8	1588	20.7	140	5791
73	****	Capital	1	6	1644	22.9	109	4329
79	****	Capital	1	6	1202	22.7	120	3845
85	****	Capital	1	4	1719	18.4	134	3554
1	****	Other city	0	3	1223	10.2	24	326
2	***	Other city	0	2	1417	9.4	27	550
3	**	Other city	0	5	1703	15.3	126	5006
4	****	Other city	0	8	1579	13.6	116	4735
6	****	Other city	0	2	1275	9.2	31	476
8	***	Other city	0	2	1369	12.0	35	1121
10	**	Other city	0	12	2352	36.6	274	16187
13	****	Other city	0	4	1655	24.1	85	5341
15	**	Other city	0	7	1165	13.8	112	3415
24	****	Other city	0	4	1488	14.3	103	632
25	**	Other city	0	5	1853	23.7	114	5263
27	***	Other city	0	2	1120	10.9	56	1608
28	***	Other city	0	4	1638	13.8	242	5162
30	***	Other city	0	2	1328	10.3	29	585
32	****	Other city	0	16	2124	26.0	328	5609
34	****	Other city	0	6	1378	24.4	87	2609
39	***	Other city	0	4	1923	25.1	163	7752
41	**	Other city	0	4	1457	14.0	111	2343
42	*****	Other city	0	6	1434	14.7	156	1229
53	***	Other city	0	8	1983	14.9	237	6910
55	***	Other city	0	4	1693	23.3	174	2587
58	***	Other city	0	5	2888	44.7	150	20634
60	*****	Other city	0	15	1489	15.1	249	2275
64	***	Other city	0	2	1213	9.8	21	363
69	****	Other city	0	8	2239	41.3	238	11977
72	*****	Other city	0	3	1367	14.7	39	1207
74	**	Other city	0	1	1404	9.4	28	267
75	***	Other city	0	4	1451	23.6	74	2788
76	****	Other city	0	5	1335	13.9	76	1192
77	****	Other city	0	4	1283	14.5	67	2179
80	****	Other city	0	5	1586	24.6	98	4511
81	***	Other city	0	8	1970	16.1	168	6172
82	***	Other city	0	3	1881	15.4	213	8820
9	**	Other settlement	0	7	1819	20.3	210	9224
11	***	Other settlement	0	11	1330	13.7	167	2085
14	***	Other settlement	0	2	1211	11.1	31	196
35	****	Other settlement	0	11	1968	41.7	319	10368
36	**	Other settlement	0	8	1558	24.0	137	4278
37	**	Other settlement	0	4	1533	12.6	63	705
40	**	Other settlement	0	9	1332	13.4	49	1857
45	***	Other settlement	0	6	1551	21.7	156	7194
47	**	Other settlement	0	9	1953	23.6	218	7626
49	**	Other settlement	0	4	1531	13.4	64	1158
59	**	Other settlement	0	4	1737	24.2	85	5993
62	**	Other settlement	0	10	1275	22.7	132	4838
65	***	Other settlement	0	14	1519	12.5	194	3725
71	**	Other settlement	0	7	1519	15.4	131	2441
78	***	Other settlement	0	1	1134	8.6	16	121
83	**	Other settlement	0	3	1507	8.6	40	1073
84	**	Other settlement	0	5	1648	23.5	83	5707