Rating Wines from the Piedmont Region of Italy Wine Spectator magazine contains articles and reviews on every aspect of the wine industry, including ratings of wine from around the world In a recent issue they reviewed and scored 475 wines from the Piedmont region of Italy using a 100 point scale The following table shows how the Wine Spectator score each wine received is used to rate each wine as being classic, outstanding, very good, good, mediocre, or not recommended Score Rating 95100 Classic a great wine 9094 Outstanding a wine of superior character and style 8589 Very good a wine with special qualities 8084 Good a solid, well made wine 7579 Mediocre a drinkable wine that may have minor flaws below 75 Not recommended Number Wine Price Score Rating 1 Barolo 2006 52 91 Outstanding 2 Barbera d'Alba Superiore 2007 30 90 Outstanding 3 Barbera Piemonte Castelvero 2009 10 80 Good 4 Barolo Cannubi 2006 120 93 Outstanding 5 Barolo San Pietro 2006 75 91 Outstanding 6 Chardonnay Langhe 2009 20 83 Good 7 Gavi Minaia 2009 39 87 Very Good 8 Langhe Faletto 2007 50 91 Outstanding 9 Favorita Langhe White 2008 18 87 Very Good 10 Langhe Brandini Brandini 2008 31 88 Very Good 11 Arneis Langhe 2009 18 84 Good 12 Barolo Vigneto La Villa 2006 48 93 Outstanding 13 Barbaresco Curr 2007 55 92 Outstanding 14 Barolo Monfortino Riserva 2002 375 98 Classic 15 Barbera d'Alba Lirano Soprano 2007 56 91 Outstanding 16 Barbera d'Alba Superiore 2006 38 90 Outstanding 17 Barolo Rocche dell'Annunziata 2006 100 93 Outstanding 18 Barbaresco Silvio Giamello Vicenziana 2005 42 92 Outstanding 19 Roero Arneis Renesio 2009 35 89 Very Good 20 Langhe Sor San Lorenzo 2007 440 97 Classic 21 Barbaresco Silvio Giamello Vicenziana 2006 39 89 Very Good 22 Barbera d'Alba La Gamberaja 2007 35 87 Very Good 23 Langhe White Cinerino 2008 38 86 Very Good 24 Barolo Bricco Viole 2006 53 88 Very Good 25 Barbera d'Alba Tradizione 2007 20 88 Very Good 26 Barbera d'Alba 2009 25 89 Very Good 27 Roero Arneis Valle dei Lunghi 2009 20 84 Good 28 Piemonte La Valletta 2008 29 82 Good 29 Barolo Brunate 2006 90 91 Outstanding 30 Barolo Vigna Rionda 2004 125 91 Outstanding 31 Barolo Gramolere 2006 55 90 Outstanding 32 Barbera d'Asti Superiore Chers 2006 25 92 Outstanding 33 Barbera d'Alba 2008 25 93 Outstanding 34 Barbera d'Alba Serraboella 2008 32 89 Very Good 35 Cortese Piemonte Castelvero 2009 10 84 Good 36 Barolo Bussia Romirasco 2006 180 97 Classic 37 Roero Arneis Saglietto 2008 27 90 Outstanding 38 Barbaresco Bricco Asili 2007 147 92 Outstanding 39 Barbera d'Alba Superiore 2008 38 89 Very Good 40 Barolo Prap 2005 57 89 Very Good 41 Moscato d'Asti 2009 22 89 Very Good 42 Gavi Vigna del Lago 2009 19 87 Very Good 43 Barbaresco Serraboella 2007 72 94 Outstanding 44 Barolo Bussia Colonnello 2006 150 94 Outstanding 45 Barolo Vigneto Arborina 2006 60 93 Outstanding 46 Dolcetto d'Alba Fontanazza 2009 17 88 Very Good 47 Barolo 2006 55 88 Very Good 48 Gavi 2009 18 86 Very Good 49 Gavi 2009 19 88 Very Good 50 Barbaresco Il Bricco 2006 109 91 Outstanding 51 Barbera d'Alba Filatura 2008 12 87 Very Good 52 Barbera d'Alba Zio Nando 2008 35 89 Very Good 53 Dolcetto d'Alba 2009 20 89 Very Good 54 Barbaresco 2007 210 93 Outstanding 55 Chardonnay Langhe 2009 21 78 Mediocre 56 Barolo 2006 37 93 Outstanding 57 Langhe 2006 16 89 Very Good 58 Barbaresco Ovello 2006 58 88 Very Good 59 Nebbiolo Langhe Cerretta 2008 75 92 Outstanding 60 Barbera d'Asti Superiore Montruc 2008 39 88 Very Good 61 Barolo Le Rocche del Falletto Riserva 2004 300 96 Classic 62 Barbaresco 2007 35 90 Outstanding 63 Dolcetto d'Alba 2009 22 90 Outstanding 64 Barolo 2006 90 92 Outstanding 65 Barolo Preda 2006 95 93 Outstanding 66 Barbera del Monferrato Superiore Perlydia 2003 21 89 Very Good 67 Grangia NV 10 83 Good 68 Langhe White Le Pernici 2009 25 86 Very Good 69 Barbera d'Asti Superiore Il Cascinone Rive 2007 29 90 Outstanding 70 Barbera d'Alba Piani 2008 23 89 Very Good 71 Barolo Ciabot Mentin Ginestra 2006 90 96 Classic 72 Dolcetto d'Alba 2009 18 88 Very Good 73 Barbera d'Asti Bricco dell'Uccellone 2007 54 89 Very Good 74 Barolo Marenca 2006 62 96 Classic 75 Chardonnay Piemonte L'Altro 2009 21 88 Very Good 76 Barolo Serralunga 2006 37 88 Very Good 77 Dolcetto d'Alba Superiore 2008 24 86 Very Good 78 Barolo 2006 52 91 Outstanding 79 Gavi Black Label 2009 55 88 Very Good 80 Langhe Sor Tildn 2007 440 95 Classic 81 Barolo Mosconi 2006 105 90 Outstanding 82 Nebbiolo Langhe Ginestrino 2008 40 89 Very Good 83 Barolo La Rosa 2006 120 92 Outstanding 84 Nebbiolo Langhe 2008 26 90 Outstanding 85 Dogliani Pap Celso 2008 28 88 Very Good 86 Barolo Lazzarito 2006 150 93 Outstanding 87 Barolo 2006 37 91 Outstanding 88 Barbaresco Asij 2007 43 89 Very Good 89 Barbaresco Vanotu 1999 120 91 Outstanding 90 Langhe Barilin 2005 25 87 Very Good 91 Barbera d'Alba Pistn 2009 25 88 Very Good 92 Barolo P Vigne 2006 40 90 Outstanding 93 Barolo Broglio 2005 57 90 Outstanding 94 Dogliani Sir d'Jermu 2008 27 89 Very Good 95 Dolcetto d'Alba 2008 19 88 Very Good 96 Gavi La Luciana 2009 15 87 Very Good 97 Dolcetto d'Alba Autinot 2009 13 88 Very Good 98 Barolo Rocche di Castiglione 2006 69 92 Outstanding 99 Dolcetto d'Alba 2008 13 87 Very Good 100 Chardonnay Langhe Bastia 2008 50 87 Very Good A key question for most consumers is whether paying more for a bottle of wine will result in a better wine To investigate this question for wines from the Piedmont region we selected a random sample of 100 wines from the 475 wines that Wine Spectator reviewed The data, contained in the file WineRatings , shows the price ($), the Wine Spectator score, and the rating for each wine Managerial Report Develop a table that shows the number of wines that were classified as classic, outstanding, very good, good, mediocre, and not recommended and the average price Does there appear to be any relationship between the price of the wine and the Wine Spectator rating Are there any other aspects of your initial summary of the data that stand out Develop a scatter diagram with price on the horizontal axis and the Wine Spectator score on the vertical axis Does the relationship between price and score appear to be linear Using linear regression, develop an estimated regression equation that can be used to predict the score given the price of the wine Using a second order model, develop an estimated regression equation that can be used to predict the score given the price of the wine Compare the results from fitting a linear model and fitting a second order model As an alternative to fitting a second order model, fit a model using the natural logarithm of price as the independent variable Compare the results with the second order model Based upon your analysis, would you say that spending more for a bottle of wine will provide a better wine Suppose that you want to spend a maximum of $30 for a bottle of wine In this case, will spending closer to your upper limit for price result in a better wine than a much lower price Request It would be great and appreciated if you could provide explanations of how to do it exactly in Excel and also screenshots from Excel for the following questions Using linear regression, develop an estimated regression equation that can be used to predict the score given the price of the wine Using a second order model, develop an estimated regression equation that can be used to predict the score given the price of the wine Compare the results from fitting a linear model and fitting a second order model As an alternative to fitting a second order model, fit a model using the natural logarithm of price as the independent variable Compare the results with the second order model Thank you

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Rating Wines from the Piedmont Region of Italy Wine Spectator magazine contains articles and reviews on every aspect of the wine industry, including ratings of

Rating Wines from the Piedmont Region of Italy

Wine Spectator magazine contains articles and reviews on every aspect of the wine industry, including ratings of wine from around the world. In a recent issue they reviewed and scored 475 wines from the Piedmont region of Italy using a 100-point scale. The following table shows how the Wine Spectator score each wine received is used to rate each wine as being classic, outstanding, very good, good, mediocre, or not recommended.

Score	Rating
95100	Classic: a great wine
9094	Outstanding: a wine of superior character and style
8589	Very good: a wine with special qualities
8084	Good: a solid, well-made wine
7579	Mediocre: a drinkable wine that may have minor flaws
below 75	Not recommended

Number	Wine	Price	Score	Rating
1	Barolo 2006	52	91	Outstanding
2	Barbera d'Alba Superiore 2007	30	90	Outstanding
3	Barbera Piemonte Castelvero 2009	10	80	Good
4	Barolo Cannubi 2006	120	93	Outstanding
5	Barolo San Pietro 2006	75	91	Outstanding
6	Chardonnay Langhe 2009	20	83	Good
7	Gavi Minaia 2009	39	87	Very Good
8	Langhe Faletto 2007	50	91	Outstanding
9	Favorita Langhe White 2008	18	87	Very Good
10	Langhe Brandini & Brandini 2008	31	88	Very Good
11	Arneis Langhe 2009	18	84	Good
12	Barolo Vigneto La Villa 2006	48	93	Outstanding
13	Barbaresco Curr 2007	55	92	Outstanding
14	Barolo Monfortino Riserva 2002	375	98	Classic
15	Barbera d'Alba Lirano Soprano 2007	56	91	Outstanding
16	Barbera d'Alba Superiore 2006	38	90	Outstanding
17	Barolo Rocche dell'Annunziata 2006	100	93	Outstanding
18	Barbaresco Silvio Giamello Vicenziana 2005	42	92	Outstanding
19	Roero Arneis Renesio 2009	35	89	Very Good
20	Langhe Sor San Lorenzo 2007	440	97	Classic
21	Barbaresco Silvio Giamello Vicenziana 2006	39	89	Very Good
22	Barbera d'Alba La Gamberaja 2007	35	87	Very Good
23	Langhe White Cinerino 2008	38	86	Very Good
24	Barolo Bricco Viole 2006	53	88	Very Good
25	Barbera d'Alba Tradizione 2007	20	88	Very Good
26	Barbera d'Alba 2009	25	89	Very Good
27	Roero Arneis Valle dei Lunghi 2009	20	84	Good
28	Piemonte La Valletta 2008	29	82	Good
29	Barolo Brunate 2006	90	91	Outstanding
30	Barolo Vigna Rionda 2004	125	91	Outstanding
31	Barolo Gramolere 2006	55	90	Outstanding
32	Barbera d'Asti Superiore Chers 2006	25	92	Outstanding
33	Barbera d'Alba 2008	25	93	Outstanding
34	Barbera d'Alba Serraboella 2008	32	89	Very Good
35	Cortese Piemonte Castelvero 2009	10	84	Good
36	Barolo Bussia Romirasco 2006	180	97	Classic
37	Roero Arneis Saglietto 2008	27	90	Outstanding
38	Barbaresco Bricco Asili 2007	147	92	Outstanding
39	Barbera d'Alba Superiore 2008	38	89	Very Good
40	Barolo Prap 2005	57	89	Very Good
41	Moscato d'Asti 2009	22	89	Very Good
42	Gavi Vigna del Lago 2009	19	87	Very Good
43	Barbaresco Serraboella 2007	72	94	Outstanding
44	Barolo Bussia Colonnello 2006	150	94	Outstanding
45	Barolo Vigneto Arborina 2006	60	93	Outstanding
46	Dolcetto d'Alba Fontanazza 2009	17	88	Very Good
47	Barolo 2006	55	88	Very Good
48	Gavi 2009	18	86	Very Good
49	Gavi 2009	19	88	Very Good
50	Barbaresco Il Bricco 2006	109	91	Outstanding
51	Barbera d'Alba Filatura 2008	12	87	Very Good
52	Barbera d'Alba Zio Nando 2008	35	89	Very Good
53	Dolcetto d'Alba 2009	20	89	Very Good
54	Barbaresco 2007	210	93	Outstanding
55	Chardonnay Langhe 2009	21	78	Mediocre
56	Barolo 2006	37	93	Outstanding
57	Langhe 2006	16	89	Very Good
58	Barbaresco Ovello 2006	58	88	Very Good
59	Nebbiolo Langhe Cerretta 2008	75	92	Outstanding
60	Barbera d'Asti Superiore Montruc 2008	39	88	Very Good
61	Barolo Le Rocche del Falletto Riserva 2004	300	96	Classic
62	Barbaresco 2007	35	90	Outstanding
63	Dolcetto d'Alba 2009	22	90	Outstanding
64	Barolo 2006	90	92	Outstanding
65	Barolo Preda 2006	95	93	Outstanding
66	Barbera del Monferrato Superiore Perlydia 2003	21	89	Very Good
67	Grangia NV	10	83	Good
68	Langhe White Le Pernici 2009	25	86	Very Good
69	Barbera d'Asti Superiore Il Cascinone Rive 2007	29	90	Outstanding
70	Barbera d'Alba Piani 2008	23	89	Very Good
71	Barolo Ciabot Mentin Ginestra 2006	90	96	Classic
72	Dolcetto d'Alba 2009	18	88	Very Good
73	Barbera d'Asti Bricco dell'Uccellone 2007	54	89	Very Good
74	Barolo Marenca 2006	62	96	Classic
75	Chardonnay Piemonte L'Altro 2009	21	88	Very Good
76	Barolo Serralunga 2006	37	88	Very Good
77	Dolcetto d'Alba Superiore 2008	24	86	Very Good
78	Barolo 2006	52	91	Outstanding
79	Gavi Black Label 2009	55	88	Very Good
80	Langhe Sor Tildn 2007	440	95	Classic
81	Barolo Mosconi 2006	105	90	Outstanding
82	Nebbiolo Langhe Ginestrino 2008	40	89	Very Good
83	Barolo La Rosa 2006	120	92	Outstanding
84	Nebbiolo Langhe 2008	26	90	Outstanding
85	Dogliani Pap Celso 2008	28	88	Very Good
86	Barolo Lazzarito 2006	150	93	Outstanding
87	Barolo 2006	37	91	Outstanding
88	Barbaresco Asij 2007	43	89	Very Good
89	Barbaresco Vanotu 1999	120	91	Outstanding
90	Langhe Barilin 2005	25	87	Very Good
91	Barbera d'Alba Pistn 2009	25	88	Very Good
92	Barolo P Vigne 2006	40	90	Outstanding
93	Barolo Broglio 2005	57	90	Outstanding
94	Dogliani Sir d'Jermu 2008	27	89	Very Good
95	Dolcetto d'Alba 2008	19	88	Very Good
96	Gavi La Luciana 2009	15	87	Very Good
97	Dolcetto d'Alba Autinot 2009	13	88	Very Good
98	Barolo Rocche di Castiglione 2006	69	92	Outstanding
99	Dolcetto d'Alba 2008	13	87	Very Good
100	Chardonnay Langhe Bastia 2008	50	87	Very Good

A key question for most consumers is whether paying more for a bottle of wine will result in a better wine. To investigate this question for wines from the Piedmont region we selected a random sample of 100 wines from the 475 wines that Wine Spectator reviewed. The data, contained in the file WineRatings, shows the price ($), the Wine Spectator score, and the rating for each wine.

Managerial Report

Develop a table that shows the number of wines that were classified as classic, outstanding, very good, good, mediocre, and not recommended and the average price. Does there appear to be any relationship between the price of the wine and the Wine Spectator rating? Are there any other aspects of your initial summary of the data that stand out?

Develop a scatter diagram with price on the horizontal axis and the Wine Spectator score on the vertical axis. Does the relationship between price and score appear to be linear?

Using linear regression, develop an estimated regression equation that can be used to predict the score given the price of the wine.

Using a second-order model, develop an estimated regression equation that can be used to predict the score given the price of the wine.

Compare the results from fitting a linear model and fitting a second-order model.

As an alternative to fitting a second-order model, fit a model using the natural logarithm of price as the independent variable. Compare the results with the second-order model.

Based upon your analysis, would you say that spending more for a bottle of wine will provide a better wine?

Suppose that you want to spend a maximum of $30 for a bottle of wine. In this case, will spending closer to your upper limit for price result in a better wine than a much lower price? **Request: It would be great and appreciated if you could provide explanations of how to do it exactly in Excel and also screenshots from Excel for the following questions:

Using linear regression, develop an estimated regression equation that can be used to predict the score given the price of the wine.

Using a second-order model, develop an estimated regression equation that can be used to predict the score given the price of the wine.

Compare the results from fitting a linear model and fitting a second-order model.

As an alternative to fitting a second-order model, fit a model using the natural logarithm of price as the independent variable. Compare the results with the second-order model. Thank you!